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• Applications of Evolutionary Computation
• Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
• Computational Intelligence for Sustainability
• Evolutionary Computation in Edge, Fog, and Cloud Computing
• Evolutionary Machine Learning
• Machine Learning and AI in Digital Healthcare and Personalized Medicine
• Resilient Bio-Inspired Algorithms
• Soft Computing applied to Games
• Surrogate-Assisted Evolutionary Optimisation.

This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of Evo*2023, in April 2023, co-located with the Evo*2023 events EuroGP, EvoCOP, and EvoMUSART. The EuroGP focused on the technique of genetic programming, EvoCOP targeted evolutionary computation in combinatorial optimization, and EvoMUSART was dedicated to evolved and bio-inspired music, sound, art, and design. The EvoApplications 2023 presents papers on the different areas: Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications, Applications of Bio-inspired Techniques on Social Networks, Evolutionary Computation in Edge, Fog, and Cloud Computing, Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition and others.

• pt. 1. EvoApplications 2011 : EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, proceedings
• pt. 2. EvoApplications 2011 : EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, proceedings.

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoComnet, EvoFin, EvoIhot, EvoMusart, EvoStim, and EvoTransloc. The 51 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.
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• [I]. Engineering and real-world applications: 1. A comparison of different many-objective optimization algorithms for energy system optimization / Tobias Rodemann
• 2. Design of powered floor systems for mobile robots with differential evolution / Eric Medvet, Stefano Seriani, Alberto Bartoli, and Paolo Gallina
• 3. Solving the multi-objective flexible job-shop scheduling problem with alternative recipes for a chemical production process / Piotr Dziurzanski, Shuai Zhao, Jerry Swan, Leandro Soares Indrusiak, Sebastian Scholze, and Karl Krone
• 4. Quantifying the effects of increasing user choice in MAP-elites applied to a workforce scheduling and routing problem / Neil Urquhart, Emma Hart, and William Hutcheson
• 5. A hybrid multi-objective differential evolution approach to stator winding optimization / André M. Silva, Fernando J.T.E. Ferreira, and Carlos Henggeler Antunes
• 6. GA-Novo : de novo peptide sequencing via tandem mass spectrometry using genetic algorithm / Samaneh Azari, Bing Xue, Mengjie Zhang, and Lifeng Peng
• 7. Ant colony optimization for optimized operation scheduling of combined heat and power plants / Johannes Mast, Stefan Rädle, Joachim Gerlach, and Oliver Bringmann
• 8. A flexible dissimilarity measure for active and passive 3D structures and its application in the fitness-distance analysis / Maciej Komosinski and Agnieszka Mensfelt.

• [II]. Games: 9. Free form evolution for Angry Birds level generation / Laura Calle, Juan J. Merelo, Antonio Mora-García, and José-Mario García-Valdez
• 10. Efficient online hyperparameter adaptation for deep reinforcement learning / Yinda Zhou, Weiming Liu, and Bin Li
• 11. GAMER : a genetic algorithm with motion encoding reuse for action-adventure video games / Tasos Papagiannis, Georgios Alexandridis, and Andreas Stafylopatis
• 12. Effects of input addition in learning for adaptive games : towards learning with structural changes / Iago Bonnici, Abdelkader Gouaïch, and Fabien Michel.

• [III]. General: 13. Supporting medical decisions for treating rare diseases through genetic programming / Illya Bakurov, Mauro Castelli, Leonardo Vanneschi, and Maria João Freitas
• 14. Evolutionary successful strategies in a transparent iterated prisoner's dilemma / Anton M. Unakafov, Thomas Schultze, Igor Kagan, Sebastian Moeller, Alexander Gail, Stefan Treue, Stephan Eule, and Fred Wolf
• 15. Evolutionary algorithms for the design of quantum protocols / Walter Krawec, Stjepan Picek, and Domagoj Jakobovic
• 16. Evolutionary computation techniques for constructing SAT-based attacks in algebraic cryptanalysis / Artem Pavlenko, Alexander Semenov, and Vladimir Ulyantsev
• 17. On the use of evolutionary computation for in-silico medicine : modelling sepsis via evolving continuous petri nets / Ahmed Hallawa, Elisabeth Zechendorf, Yi Song, Anke Schmeink, Arne Peine, Lukas Marin, Gerd Ascheid, and Guido Dartmann
• 18. A cultural algorithm for determining similarity values between users in recommender systems / Kalyani Selvarajah, Ziad Kobti, and Mehdi Kargar.

• [IV]. Image and signal processing: 19. Optimizing the C index using a canonical genetic algorithm / Thomas A. Runkler and James C. Bezdek
• 20. Memetic evolution of classification ensembles / Szymon Piechaczek, Michal Kawulok, and Jakub Nalepa
• 21. Genetic programming for feature selection and feature combination in salient object detection / Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, and Mengjie Zhang
• 22. Variable-length representation for EC-based feature selection in high-dimensional data / N.D. Cilia, C. De Stefano, F. Fontanella, and A. Scotto di Freca.

• [V]. Life sciences: 23. A knowledge based differential evolution algorithm for protein structure prediction / Pedro H. Narloch and Márcio Dorn
• 24. A biased random key genetic algorithm with local search chains for molecular docking / Pablo F. Leonhart and Márcio Dorn
• 25. Self-sustainability challenges of plants colonization strategies in virtual 3D environments / Kevin Godin-Dubois, Sylvain Cussat-Blanc, and Yves Duthen.

• [VI]. Networks and distributed systems: 26. Early detection of Botnet activities using grammatical evolution / Selim Yilmaz and Sevil Sen
• 27. Exploring concurrent and stateless evolutionary algorithms / Juan J. Merelo, J.L.J. Laredo, Pedro A. Castillo, José-Mario García-Valdez, and Sergio Rojas-Galeano
• 28. Evolving trust formula to evaluate data trustworthiness in VANETs using genetic programming / Mehmet Aslan and Sevil Sen
• 29. A matheuristic for green and robust 5G virtual network function placement / Thomas Bauschert, Fabio D'Andreagiovanni, Andreas Kassler, and Chenghao Wang
• 30. Prolong the network lifetime of wireless underground sensor networks by optimal relay node placement / Nguyen Thi Tam, Huynh Thi Thanh Binh, Tran Huy Hung, Dinh Anh Dung, and Le Trong Vinh.

• [VII]. Neuroevolution and data analytics: 31. The evolution of self-taught neural networks in a multi-agent environment / Nam Le, Anthony Brabazon, and Michael O'Neill
• 32. Coevolution of generative adversarial networks / Victor Costa, Nuno Lourenço, and Penousal Machado
• 33. Evolving recurrent neural networks for time series data prediction of coal plant parameters / AbdElRahman ElSaid, Steven Benson, Shuchita Patwardhan, David Stadem, and Travis Desell
• 34. Improving NeuroEvolution efficiency by surrogate model-based optimization with phenotypic distance kernels / Jörg Stork, Martin Zaefferer, and Thomas Bartz-Beielstein.

• [VIII]. Numerical optimization : theory, benchmarks and applications: 35. Compact optimization algorithms with re-sampled inheritance / Giovanni Iacca and Fabio Caraffini
• 36. Particle swarm optimization : understanding order-2 stability guarantees / Christopher W. Cleghorn
• 37. Fundamental flowers : evolutionary discovery of coresets for classification / Pietro Barbiero and Alberto Tonda.

This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoMUSART. The 44 revised full papers presented were carefully reviewed and selected from 66 submissions. They were organized in topical sections named: Engineering and Real World Applications; Games; General; Image and Signal Processing; Life Sciences; Networks and Distributed Systems; Neuroevolution and Data Analytics; Numerical Optimization: Theory, Benchmarks, and Applications; Robotics.
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• Parameter Setting in EAs: a 30 Year Perspective.- Parameter Control in Evolutionary Algorithms.- Self-Adaptation in Evolutionary Algorithms.- Adaptive Strategies for Operator Allocation.- Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms.- Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks.- Genetic Programming: Parametric Analysis of Structure Altering Mutation Techniques.- Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms.- Adaptive Population Sizing Schemes in Genetic Algorithms.- Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements.- Parameter-less Hierarchical Bayesian Optimization Algorithm.- Evolutionary Multi-Objective Optimization Without Additional Parameters.- Parameter Setting in Parallel Genetic Algorithms.- Parameter Control in Practice.- Parameter Adaptation for GP Forecasting Applications.
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One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
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This book constitutes the refereed proceedings for the 4th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2004, held in Coimbra, Portugal, in April together with EuroGP 2004 and six workshops on evolutionary computing. The 23 revised full papers presented were carefully reviewed and selected from 86 submissions. Among the topics addressed are evolutionary algorithms as well as metaheuristics like memetic algorithms, ant colony optimization, and scatter search; the papers are dealing with representations, operators, search spaces, adaptation, comparison of algorithms, hybridization of different methods, and theory. Among the combinatorial optimization problems studied are graph coloring, network design, cutting, packing, scheduling, timetabling, traveling salesman, vehicle routing, and various other real-world applications.
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This book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002. The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning.
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This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2005, held in Lausanne, Switzerland in March/April 2005.The 24 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers cover evolutionary algorithms as well as related approaches like scatter search, simulated annealing, ant colony optimization, immune algorithms, variable neighborhood search, hyperheuristics, and estimation of distribution algorithms. The papers deal with representations, analysis of operators and fitness landscapes, and comparison algorithms. Among the combinatorial optimization problems studied are graph coloring, quadratic assignment, knapsack, graph matching, packing, scheduling, timetabling, lot-sizing, and the traveling salesman problem.
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• Theory of Evolutionary Computing (I).- Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem.- Mirrored Sampling and Sequential Selection for Evolution Strategies.- Optimisation and Generalisation: Footprints in Instance Space.- Adaptive Drift Analysis.- Optimizing Monotone Functions Can Be Difficult.- Log-Linear Convergence of the Scale-Invariant (?/? w , ?)-ES and Optimal ? for Intermediate Recombination for Large Population Sizes.- Exploiting Overlap When Searching for Robust Optima.- Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.- One-Point Geometric Crossover.- When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure.- First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes.- Differential Mutation Based on Population Covariance Matrix.- General Lower Bounds for the Running Time of Evolutionary Algorithms.- A Binary Encoding Supporting Both Mutation and Recombination.- Towards Analyzing Recombination Operators in Evolutionary Search.- Theory of Evolutionary Computing (II).- Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies.- A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes.- Drift Analysis with Tail Bounds.- More Effective Crossover Operators for the All-Pairs Shortest Path Problem.- Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution.- Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation.- An Archive Maintenance Scheme for Finding Robust Solutions.- Experimental Supplements to the Theoretical Analysis of Migration in the Island Model.- General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms.- Negative Drift in Populations.- Log(?) Modifications for Optimal Parallelism.- The Linkage Tree Genetic Algorithm.- An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System.- The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments.- Machine Learning, Classifier Systems, Image Processing.- Evolutionary Learning of Technical Trading Rules without Data-Mining Bias.- Using Computational Intelligence to Identify Performance Bottlenecks in a Computer System.- Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation.- Globally Induced Model Trees: An Evolutionary Approach.- Open-Ended Evolutionary Robotics: An Information Theoretic Approach.- A Novel Similarity-Based Crossover for Artificial Neural Network Evolution.- Indirect Encoding of Neural Networks for Scalable Go.- Comparison-Based Optimizers Need Comparison-Based Surrogates.- A Cooperative Coevolutionary Approach to Partitional Clustering.- Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task.- Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction.- The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies.- Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography.- Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions.- Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming.- Memetic Algorithms, Hybridized Techniques, Meta and Hyperheurisics.- A Memetic Cooperative Optimization Schema and Its Application to the Tool Switching Problem.- Ownership and Trade in Spatial Evolutionary Memetic Games.- A Hyper-Heuristic Approach to Strip Packing Problems.- Asymptotic Analysis of Computational Multi-Agent Systems.- Path-Guided Mutation for Stochastic Pareto Local Search Algorithms.- Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics.- Graph Clustering Based Model Building.- How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms.- Secure and Task Abortion Aware GA-Based Hybrid Metaheuristics for Grid Scheduling.- A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover.- Ant Based Hyper Heuristics with Space Reduction: A Case Study of the p-Median Problem.- A Study of Multi-parent Crossover Operators in a Memetic Algorithm.- A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover.- A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model.- Multiobjective Optimization, Theoretical Aspects.- Theoretically Investigating Optimal ?-Distributions for the Hypervolume Indicator: First Results for Three Objectives.- Convergence Rates of (1+1) Evolutionary Multiobjective Optimization Algorithms.- Tight Bounds for the Approximation Ratio of the Hypervolume Indicator.- Evolutionary Multiobjective Optimization Algorithm as a Markov System.- A Natural Evolution Strategy for Multi-objective Optimization.- Solving Multiobjective Optimization Problem by Constraint Optimization.- Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization.- Objective Space Partitioning Using Conflict Information for Many-Objective Optimization.- How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem.- Path Relinking on Many-Objective NK-Landscapes.- In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms.- Stopping Criteria for Genetic Algorithms with Application to Multiobjective Optimization.- Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search.- On Expected-Improvement Criteria for Model-based Multi-objective Optimization.- Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization.
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We are very pleased to present to you this LNCS volume, the proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN 2010). PPSN is one of the most respected and highly regarded c- ference series in evolutionary computation, and indeed in natural computation aswell.Thisbiennialeventwas?rstheldinDortmundin1990, andtheninBr- sels (1992), Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), Granada (2002), Birmingham (2004), Reykjavik (2006) and again in Dortmund in 2008. PPSN 2010 received 232 submissions. After an extensive peer review p- cess involving more than 180 reviewers, the program committee chairs went through all the review reports and ranked the papers according to the revi- ers'comments. Each paper wasevaluated by at least three reviewers.Additional reviewers from the appropriate branches of science were invoked to review into disciplinary papers. The top 128 papers were ?nally selected for inclusion in the proceedings and presentation at the conference. This represents an acceptance rate of 55%, which guarantees that PPSN will continue to be one of the c- ferences of choice for bio-inspired computing and metaheuristics researchers all over the world who value the quality over the size of a conference. The papers included in the proceedingsvolumes covera wide range of topics, fromevolutionarycomputationto swarmintelligence, frombio-inspiredcomp- ing to real-world applications. Machine learning and mathematical games s- portedbyevolutionaryalgorithmsaswellasmemetic, agent-orientedsystemsare also represented. They all are the latest and best in natural computation. The proceedings are composed of two volumes divided into nine thematic sections.
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• EvoCOMNET contributions
• EvoFIN contributions
• EvoIASP contributions -- EvoINTERACTION contributions
• EvoMUSART contributions
• EvoSTOC contributions
• EvoTRANSLOG contributions.

This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2007, held in Valencia, Spain in April 2007. It examines evolutionary computation in communications, networks, and connected systems; finance and economics; image analysis and signal processing; and transportation and logistics. Coverage also details evolutionary algorithms in stochastic and dynamic environments.
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• EvoBIO contributions
• EvoCOMNET contributions
• EvoHOT contributions
• EvoIASP contributions
• EvoINTERACTION contributions
• EvoMUSART contributions
• EvoSTOC contributions.

This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2006, held in Budapest, Hungary, in April 2006. The 65 revised full papers and 13 revised short papers presented were carefully reviewed and selected from a total of 149 submissions. In accordance with the seven workshops covered, the papers are organized in topical sections on evolutionary bioinformatics, evolutionary computation in communications, networks, and connected systems, evolutionary computation in hardware optimization, evolutionary computation in image analysis and signal processing, interactive evolution and humanized computational intelligence, evolutionary music and art, and evolutionary algorithms in stochastic and dynamic environments.
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This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006, held in Reykjavik, Iceland in September 2006. The 106 revised full papers presented were carefully reviewed and selected from 255 submissions. The papers cover a wide range of topics, from evolutionary computation to swarm intelligence and from bio-inspired computing to real-world applications; they are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.
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This book constitutes the refereed joint proceedings of six workshops on evolutionary computing, EvoWorkshops 2005, held in Lausanne, Switzerland in March/April 2005. The 56 revised full papers presented were carefully reviewed and selected from a total of 143 submissions. In accordance with the six workshops covered, the papers are organized in topical sections on evolutionary bioinformatics; evolutionary computing in communications, networks, and connected systems; hardware optimization techniques; evolutionary computation in image analysis and signal processing; evolutionary music and art; and evolutionary algorithms in stochastic and dynamic environments.
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This book constitutes the joint refereed proceedings of six workshops on evolutionary computing, EvoWorkshops 2004, held together with EuroGP 2004 and EvoCOP 2004 in Coimbra, Portugal, in April 2004. The 55 revised full papers presented were carefully reviewed and selected from a total of 123 submissions. In accordance with the six workshops covered, the papers are organized in topical sections on evolutionary bioinformatics; evolutionary computing in communications, networks, and connected systems; hardware optimization techniques; evolutionary computing in image analysis and signal processing; evolutionary music and art; and evolutionary algorithms in stochastic and dynamic environments.
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• Preface. Committee and Sponsors. Evolutionary computation in crack problems
• W. Beluch. Investigation of evolutionary algorithm effectiveness in optimal synthesis of certain mechanisms
• K. Bialas-Hetltowski, et al. Minimum heat losses subjected to stiffness constraints: window frame optimization
• R.A. Bialecki, M. Krol. Evolutionary computation in inverse problems
• T. Burczynski, et al. Hang-glider wing design by genetic optimization
• S. D'Angelo, et al. An error function for optimum dimension synthesis of mechanisms using genetic algorithms
• I.F. de Bustos, et al. Evolutionary computation in thermoelastic problems
• A. Dlugosz. Management of evolutionary MAS for multiobjective optimisation
• G. Dobrowalski, M. Kisiel-Dorohinicki. PAMUC: a new method to handle with constraints and multiobjectivity in evolutionary algorithms
• R. Filomeno Coelho, et al. A comparative analysis of "controlled elitism" in the NGSA-II applied to frame optimization
• D. Greiner, et al. IS-PAES: multiobjective optimization with efficient constraint handling
• A. Hernandez Aguirre, et al. Optimization of aligned fiber laminate composites
• Z. Hu, et al. Genetic algorithm for damage assessment
• V.T. Johnson, et al. Estimation of parameters for a hydrodynamic transmission system mathematical model with the application of genetic algorithm
• A. Kesy, et al. Study of safety of high-rise buildings using evolutionary search
• S. Khajhpour, D.E. Grierson. Structural design using genetic algorithm
• E. Kita, et al. The topology optimization using evolutionary search
• G. Kokot, P. Orantek. Identification of CMM parametric errors by hierarchical genetic strategy
• J. Kolodziej, et al. Genetic algorithm for fatigue crack detection in Timoshenko beam
• M. Krawczuk, et al. Multicriteria design optimization of robot gripper mechanisms
• S. Krenich. Optimal design of multiple clutch brakes using a multistage evolutionary method
• S. Krenich, A. Osyczka. Distributed evolutionary algorithms in optimization of nonlinear solids
• W. Kus, T. Burczynski. Adaptive penalty strategies in genetic search for problems with inequality and equality constraints
• C.-Y. Lin, W.-H. Wu. On the identification of linear elastic mechanical behaviour of orthopedic materials using evolutionary algorithms
• M. Magalhaes Dourado, et al. Ranking pareto optimal solutions in genetic algorithm by using undifferentiation interval method
• J. Montusiewicz. The effectiveness of probabilistic algorithms in shape and topology discrete optimisation of 2-D composite structures
• A. Muc. Genetic algorithms in optimisation of resin hardening technological processes
• A. Muc, P. Saj. Hybrid evolutionary algorithms in optimization of structures under dynamical loads
• P. Orantek. Evolutionary optimization system (EOS) for design automation
• O. Osyczka, et al. Evolutionary method for a universal motor geometry optimization
• G. Papa, B. Korousic-Seljak. A review of the development and application of cluster oriented genetic algorithms
• I.C. Parmee. Genetic algorithm optimization of hole shapes in a perforated elastic plate over a range of loads
• S. Vigdergauz. An object oriented library for evolutionary programs with applications in partitioning of finite element meshes
• J. Zola, et al.
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This book contains papers presented at the IUTAM Symposium on Evolutionary Methods in Mechanics held in Cracow, Poland, September 24-27, 2002. Recently, Evolutionary algorithms and methods have become the most effective tools for solving specific kinds of problems in mechanics, especially in structural and multidisciplinary optimization. The book is devoted to both theoretical and practical developments of computational mechanics methods drawing their inspiration from nature with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming and other evolutionary computation techniques in mechanics. The special emphasis is put on evolutionary optimization in various fields of mechanics. The subject of evolutionary optimization has recently experienced a remarkable growth. New concepts, approaches and applications are being continually and exploited to provide efficient tools for solving a variety of optimization problems in mechanics. Several important topics are presented: evolutionary methods in shape and topology optimization, evolutionary methods in size and material optimization, evolutionary methods in multiobjective optimization, in inverse problems of engineering mechanics, in biomechanics, coupling of evolutionary methods and neural networks in mechanics, methods of artificial intelligence in mechanics based on evolutionary approaches and other unconventional applications in mechanics. Research workers, specialists and professionals who deal with methods of artificial intelligence, especially in the field of evolutionary computation, structural and multidisciplinary optimization would be interested in this book.
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This book constitutes the joint refereed proceedings of six workshops, EvoWorkshops 2003, held together with EuroGP 2003 in Essex, UK in April 2003.The 63 revised full papers presented were carefully reviewed and selected from a total of 109 submissions. In accordance with the six workshops covered , the papers are organized in topical sections on bioinformatics, combinatorial optimization, image analysis and signal processing, evolutionary music and art, evolutionary robotics, and scheduling and timetabling.
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This book constitutes the refereed proceedings of the 7th International Conference on Parallel Problem Solving from Nature, PPSN 2002, held in Granada, Spain in September 2002. The 90 revised full papers presented were carefully reviewed and selected from 181 submissions. The papers are organized in topical sections on evolutionary algorithms theory, representation and codification, variation operators, evolutionary techniques and coevolution, multiobjective optimization, new techniques for evolutionary algorithms, hybrid algorithms, learning classifier systems, implementation of evolutionary algorithms, applications, and cellular automata and ant colony optimization.
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This book constitutes the refereed proceedings of five application-oriented workshops held concurrently as EvoWorkshops 2001 in Como, Italy in April 2001. The 52 revised full papers presented were carefully reviewed and selected out of 75 submissions. The papers are organized in topical sections on graph problems, Knapsack problems, ant algorithms, assignment problems, evolutionary algorithms analysis, permutative problems, aeronautics, image analysis and signal processing, evolutionary learning, and evolutionary scheduling and timetabling.
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• Simulating pricing behaviours using a genetic algorithm / Sue Bedingfield, Stephen Huxford, Yen Cheung
• Biologically inspired computational ecologies : a case study / Paul Devine, Ray Paton
• Modelling bounded rationality using evolutionary techniques / Bruce Edmonds, Scott Moss
• The abstract theory of evolution of the living / V.L. Kalmykov
• An evolutionary algorithm for single objective nonlinear constrained optimization problems / Hunter P. Albright, James P. Ignizio
• On recombinative sampling / Ian East
• The evolution of mutation, plasticity and culture in cyclically changing environments ; On the structure and transformation of landscapes / Tony Hirst
• Island model genetic algorithms and linearly separable problems / Darrell Whitley, Soraya Rana, Robert Heckendorn
• Empirical validation of the performance of a class of transient detector / Philip Jacob, Andrew Ball
• The construction and evaluation of decision trees : a comparison of evolutionary and concept learning methods / H. Kennedy ... [et al.]
• Parallel distributed genetic programming applied to the evolution of natural language recognisers / Riccardo Poli
• Scheduling planned maintenance of the South Wales region of the national grid / Bill Langdon
• Solving generic scheduling problems with a distributed genetic algorithm / Malcolm McIlhagga
• Directing the search of evolutionary and neighbourhood-search optimisers for the flowshop sequencing problem with an idle-time heuristic / Peter Ross, Andrew Tuson
• Multiobjective genetic algorithms for pump scheduling in water supply / Dragan Savic, Godfrey Walters, Martin Schwab
• Use of rules and preferences for schedule builders in genetic algorithms for production scheduling / Jane Shaw, Peter Fleming
• A voxel based approach to evolutionary shape optimisation / Peter Baron ... [et al.]
• Phase transition networks : a modelling technique supporting the evolution of autonomous agents' tactical and operational activities / Anthony Deakin, Derek Yates
• An evolutionary, agent-assisted strategy for conceptual design space decomposition / Ian Parmee, M. Beck
• Task scheduling with use of classifier systems / Franciszek Seredýnski.

This book constitutes the refereed post-workshop proceedings of the AISB International Workshop on Evolutionary Computing, held in Manchester, UK, in April 1997.The 22 strictly reviewed and revised full papers presented were selected for inclusion in the book after two rounds of refereeing. The papers are organized in sections on evolutionary approaches to issues in biology and economics, problem structure and finite landscapes, evolutionary machine learning and classifier systems, evolutionary scheduling, and more techniques and applications of evolutionary algorithms.
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• Evolutionary Computation & Swarm Intelligence
• Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study
• Research on Multi-modal Multi-Objective Path Planning by Improved Ant Colony Algorithm
• Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm
• A Multi-Objective Particle Swarm Algorithm Based on a Preference Strategy
• An Improved Harris Hawk Optimization Algorithm Based on Spiral Search and Neighborhood Perturbation
• S-Plane Controller Parameter Tuning Based on IAFSA for UUV
• A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling
• Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay
• Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm
• A Self-Adaptive Single-objective Multitasking Optimization Algorithm
• Improved Whale Optimization Algorithm by Multi-mechanism Fusion
• Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment
• An Improved Chaos-based Particle Swarm Optimization Algorithm
• Task Location Distribution based Genetic Algorithm for UAV Mobile Crowd Sensing
• The Utilities of Evolutionary Multiobjective Optimization for Neural Architecture Search An Empirical Perspective
• Research on Unmanned Ship Collision Avoidance Algorithm based on Improved Particle Swarm Pptimization Algorithm
• Solving Constrained Multi-objective Optimization Problems with Passive Archiving Mechanism
• A Comparison of Large-scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation
• Enabling Surrogate-assisted Evolutionary Reinforcement Learning via Policy Embedding
• An Improved MPCA Algorithm with Weight Matrix Based on Many-objective Optimization
• Machine Learning & Deep Learning
• Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm
• Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning
• A Review On Bio-inspired Fluid Mechanics Via Deep Reinforcement Learning
• Memristor-Based Neural Network Circuit of Operant Conditioning with Overshadowing
• Continual Learning with a Memory of Non-similar Samples
• Research on Soil Moisture Prediction Based on LSTM-Transformer Model
• Graph Contrastive Learning with Intrinsic Augmentations
• Research on Global Collision Avoidance Algorithm for Unmanned Ship Based on Improved Artificial Potential Field Algorithm
• OCET: One-dimensional Convolution Embedding Transformer for Stock Trend Prediction
• A Rapid, Precise Spiking Neural Network Approach for Image Recognition
• Research on Improved Image Dehazing Algorithm Based on Dark Channel Prior
• Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing
• Swing-up and Balance Control of Cart-pole Based on Reinforcement Learning DDPG
• Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion
• Intelligent Control & Simulation
• Multi-UUV Formation Cooperative Full-area Coverage Search Method
• Multi-scale Simulations of Flow in the Upper Open Area of a Luxury Cruise Ship
• Research on Course Control Algorithm of Unmanned Craft based on Model Predictive Control
• Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment
• Multi-UUV Cooperative Navigation and Positioning Algorithm under Communication Delay
• The Research of the Consistency Control under The Condition of Time-lag of Isomerism AUV Group Communication
• Non-uniform Deformation Behavior of Magneto-sensitive Elastomer Containing Uniform Sphere Particles with V Arrangement
• Study on the Influence of Exit Width Change on Heterogeneous Passengers Evacuation based on the Social Force Model
• A Review of Longitudinal Vibration and Vibration Reduction Technology of Propulsion Shafting
• Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID
• Flexible Formation Control of Multiple Unmanned Vehicles based on Artificial Potential Field Method
• Local Path Planning Combined with the Motion State of Dynamic Obstacles
• Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady States
• Numerical Simulation of Bionic Undulating Fin Surface Drag Reduction Structure
• Molecular Computing & Nanotechnology
• Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures
• Diffusion Optimization Algorithm Based on Membrane Calculation
• Tuning Geometric Conformations of Curved DNA Structures by Controlling Positions of Nicks
• A Sensitive Nanothermometer Based on DNA Triplex Structure
• Microwave Absorption Properties of Double-layer Absorbing Material Based on Carbonyl Iron and Graphene Composites
• Reconfigurable Nanobook Structure Driven by Polymerase-triggered DNA Strand Displacement
• An Analysis for Thermal Conductivity of Graphene/polymer Nanocomposites
• Simulation of Aflatoxin B1 Detection Model Based on Hybridization Chain Reaction.

This book constitutes the refereed proceedings of the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, held in Wuhan, China, during December 1618, 2022. The 56 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: evolutionary computation and swarm intelligence; machine learning and deep learning; intelligent control and simulation and molecular computing and nanotechnology.

• Networks and Complex systems
• Collaborative learning over Cellular Automata
• An agent-based model for crowd simulation
• Chemical Neural Networks and Semantic Information investigated through Synthetic Cells
• Spread of perturbations in supply chain networks: the effect of the bow-tie organization on the resilience of the global automotive system
• An efficient implementation of Flux Variability Analysis for metabolic networks
• Exploring the solution space of cancer evolution inference frameworks for single-cell sequencing data
• Computational investigation of the clustering of droplets in widening pipe geometries
• Network Creation During Agglomeration Processes of Polydisperse and Monodisperse Systems of Droplets
• Artificial Chemistry Performed in an Agglomeration of Droplets with Restricted Molecule Transfer
• Modelling wet-dry cycles in the binary polymer model
• On the growth of chemical diversity
• Kernel-based early fusion of structure and attribute information for detecting communities in attributed networks
• Cultural Innovation Triggers Inequality in a Sharing Economy
• Metaheuristics, robotics, and machine learning
• Online adaptation of robots controlled by nanowire networks: A preliminary study
• The role of dynamical regimes of online adaptive BN-robots in noisy environments
• A novel evolutionary approach for Neural Architecture Search
• Single and Multi-objective Genetic Programming Methods for Prediction Intervals
• Green design of Single Frequency Networks by Multiband Robustness and a hybrid metaheuristic
• WanDa: A Mobile Application to Prevent Wandering
• Magnetic Devices Behavioral Modeling based on Genetic Programming and Neural Networks
• Evolutionary Stitching of Plot Units with Character Threads
• Impact of Morphology Variations on Evolved Neural Controllers for Modular Robots
• EGSGP: an Ensemble System Based on Geometric Semantic Genetic Programming
• Real-time monitoring tool for SNN hardware architecture.

This book constitutes the refereed proceedings of the 16th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2022, held in Gaeta, Italy, during September 14-16, 2022. The 21 full papers and 3 short papers included in this book were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: answer set programming; networks and complex systems, metaheuristics, robotics, and machine learning.

• Networks
• Dynamical criticality in growing networks
• Effective Resistance based Weight Thresholding for Community Detection
• An Oracle for the Optimization of Underconstrained Compositions of Neural Networks - The Tick Hazard Use Case
• Droplets, Fluids, and Synthetic Biology
• Obstacles on the Pathway towards Chemical Programmability using Agglomerations of Droplets
• The Good, the Bad and the Ugly: droplet recognition by a "shootout"-heuristics
• Exploring the three-dimensional arrangement of droplets
• Geometric restrictions to the agglomeration of spherical particles
• Effectiveness of Dynamic Load Balancing in Parallel Execution of a Subsurface Flow Cellular Automata Model
• Two possible AI-related paths for bottom-up synthetic cell research
• Robot Systems
• A hybrid control system architecture for a mobile robot to provide an energy-efficient and fast data processing
• On the evolution of mechanisms for collective decision making in a swarm of robots
• A novel online adaptation mechanism in artificial systems provides phenotypic plasticity
• Computer Vision and Computational Creativity
• Exploration of Genetic Algorithms and CNN for Melanoma Classification
• Using Genetic Algorithms to optimize a deep learning based system for the prediction of cognitive impairments
• Autonomous inspections of power towers with an UAV
• Self-organizing Maps of Artificial Neural Classifiers - a Brain like Pin Factory
• Evolutionary Music: Statistical Learning and Novelty for automatic improvisation
• Semantic Search
• ARISE: Artificial Intelligence Semantic Search Engine
• Artificial Medicine and Pharmacy
• Influence of the Antigen Pattern Vector on the Dynamics in a Perceptron-based Artificial Immune - Tumour-Ecosystem during and after Radiation Therapy
• Two-level detection of dynamic organization in cancer evolution models
• Artificial chemical neural network for drug discovery applications
• Trade and Finance
• Information Flow Simulations in Multi-Dimensional and Dynamic Systems
• Investigation of the Ramsey-Pierce-Bowman Model
• Ethics in Computational Modelling
• Ethical Aspects of Computational Modelling in Science, Decision Support and Communication.

This book constitutes the proceedings of the 15th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021, held in Winterthur, Switzerland, in September 2022. The 14 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: Networks; Droplets, Fluids, and Synthetic Biology; Robot Systems; Computer Vision and Computational Creativity; Semantic Search; Artificial Medicine and Pharmacy; Trade and Finance; Ethics in Computational Modelling.

• Intro; Preface; Organization; Contents; Theory; On Bi-objective Convex-Quadratic Problems; 1 Introduction; 2 Theoretical Properties of Bi-objective Convex-Quadratic Problems; 2.1 Preliminaries; 2.2 Pareto Set; 2.3 Convexity of the Pareto Front; 3 New Classes of Bi-objective Test Functions; 4 Summary; References; An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods; 1 Introduction; 2 Experimental Design; 2.1 Assessment Indexes; 2.2 Archivers Investigated; 2.3 Test Problems; 2.4 General Experimental Settings; 3 Results; 3.1 Optimal Ratio

• 3.2 Deterioration Ratio3.3 Summary; 4 Concluding Remarks; References; Evolutionary Multi-objective Optimization Using Benson's Karush-Kuhn-Tucker Proximity Measure; 1 Introduction; 2 KKT Based Proximity Measure; 3 Proposed B-KKT Proximity Measure; 4 Results; 4.1 Two-Objective Optimization Problems; 4.2 Three-Objective Optimization Problems; 4.3 Many-Objective Optimization Problems; 4.4 Engineering Design Problem; 5 Conclusions; References; On the Convergence of Decomposition Algorithms in Many-Objective Problems; 1 Introduction; 2 Numerical Experiments; 3 Interpretation of Results

• 4 ConclusionReferences; Algorithms; A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems; 1 Introduction; 2 Background; 3 Proposed Algorithm (M-NSGA-II/PT); 3.1 First Stage: Rough Approximation via Micro-NSGA-II; 3.2 Second Stage: Refinement via PT; 4 Numerical Results; 5 Conclusions and Future Work; References; Make Evolutionary Multiobjective Algorithms Scale Better with Advanced Data Structures: Van Emde Boas Tree for Non-dominated Sorting; 1 Introduction; 2 Preliminaries; 3 The Divide-and-Conquer Algorithm for Non-dominated Sorting; 3.1 The General Plan

• 3.2 Sweep Line Algorithms for m = 24 The Van Emde Boas Tree; 5 Efficient Implementation of the Van Emde Boas Tree; 6 Implementation and Analysis of the Whole Algorithm; 7 Experiments; 8 Conclusion; References; Toward a New Family of Hybrid Evolutionary Algorithms; 1 Introduction; 2 Background; 3 Subspace Polynomial Mutation Operator; 4 Multi-objective Descent Directions Within MOEAs; 4.1 Equality Constrained MOPs; 4.2 Gradient-Free Descent Direction; 5 Application: Hybrid Algorithm for Constrained Optimization; 6 Conclusions and Future Work; References

• Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D1 Introduction; 2 Related Works; 3 MOEA/D-PBI with Adjusted Weight Vectors; 4 Computational Experiments; 4.1 Experimental Settings; 4.2 Experimental Results; 5 Conclusions; References; GD
• E4: The Generalized Differential Evolution with Ordered Mutation; 1 Introduction; 2 Background Review; 2.1 Generalized Differential Evolution; 2.2 Existing Single Objective Differential Evolution with Ordered Mutation; 3 Proposed Algorithm: The Generalized Differential Evolution with the Ordered Mutation (GDE4); 4 Experiment

This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019. The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
(source: Nielsen Book Data)

• Plenary Talks
• Interactive Approaches in Multiple Criteria Decision Making and Evolutionary Multi-objective Optimization
• Towards Automatically Configured Multi-objective Optimizers
• A Review of Evolutionary Multiobjective Optimization Applications in Aerospace Engineering
• Performance evaluation of multiobjective optimization algorithms: quality indicators and the attainment function
• Theory and Hyper-Heuristics
• A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results
• Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization
• Neutral but a Winner! How Neutrality helps Multiobjective Local Search Algorithms
• To DE or not to DE? Multi-Objective Differential Evolution Revisited from a Component-Wise Perspective
• Model-Based Multi-Objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark
• Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization
• MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems
• Using hyper-heuristic to select leader and archiving methods for many-objective problems
• Algorithms
• Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts
• MOEA/PC: Multiobjective Evolutionary Algorithm Based on Polar Coordinates
• GD-MOEA: A New Multi-Objective Evolutionary Algorithm based on the Generational Distance Indicator
• Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming
• A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment
• A Knee-based EMO Algorithm with an Efficient Method to Update Mobile Reference Points
• A Hybrid Algorithm for Stochastic Multiobjective Programming Problem
• Parameter Tuning of MOEAs using a Bilevel Optimization Approach
• Pareto adaptive scalarising functions for decomposition based algorithms
• A bi-level multiobjective PSO algorithm
• An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems
• Combining Non-dominance, Objective-sorted and Spread Metric to Extend Firefly Algorithm to Multi-objective Optimization
• GACO: a parallel evolutionary approach to multi-objective scheduling
• Kriging Surrogate Model Enhanced by Coordinate Transformation of Design Space Based on Eigenvalue Decomposition
• A Parallel Multi-Start NSGA II Algorithm for Multiobjective Energy Reduction Vehicle Routing Problem
• Evolutionary Inference of Attribute-based Access Control Policies
• Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization
• A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem
• Comparing Decomposition-based and Automatically Component-Wise Designed Multi-objective Evolutionary Algorithms
• Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D
• Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions.

This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications.

• Many-Objectives Optimization, Performance and Robustness
• Evolutionary Many-objective Optimization based on Kuhn-Munkres? Algorithm
• A KKT Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization
• U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives? Proof-of- Principle Results
• Clustering based parallel Many-objective Evolutionary Algorithms using the shape of the objective vectors
• Faster Exact Algorithms for Computing Expected Hypervolume Improvement
• A GPU-based Algorithm for a Faster Hypervolume Contribution Computation
• A Feature-based Performance Analysis in Evolutionary Multiobjective Optimization
• Modified Distance Calculation in Generational Distance and Inverted Generational Distance
• On the Behavior of Stochastic Local Search within Parameter Dependent MOPs
• An Evolutionary Approach to Active Robust Multiobjective Optimisation
• Linear scalarization Pareto front identification in stochastic environments
• Elite Accumulative Sampling Strategies for Noisy Multi-Objective Optimisation
• Guideline Identification for Optimization under Uncertainty through the Optimization of a Boomerang Trajectory
• MCDM
• Using indifference information in robust ordinal regression
• A Multi-objective genetic algorithm for inferring inter-criteria parameters for water supply consensus
• Genetic Algorithm Approach for a Class of Multi-criteria, Multi-vehicle Planner of UAVs
• An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA
• On Generalizing Lipschitz Global Methods for Multiobjective Optimization
• Dealing with scarce optimization time in complex logistics optimization: A study on the biobjective Swap-Body Inventory Routing Problem
• Machine Decision Makers as a Laboratory for Interactive EMO
• Real World Applications
• Aircraft Air Inlet Design Optimization via Surrogate-Assisted Evolutionary Computation
• Diesel Engine Drive-Cycle Optimization with the Integrated Optimization Environment? Liger
• Re-design for robustness: An approach based on many objective optimization
• A Model for a Human Decision-Maker in a Polymer Extrusion Process
• Multi-Objective Optimization of Gate Location and Processing Conditions in Injection Molding Using MOEAs: Experimental Assessment
• A Multi-Criteria Decision Support System for a Routing Problem in Waste Collection
• Application of Evolutionary Multiobjective Algorithms for solving the problem of Energy Dispatch in Hydroelectric Power Plants
• Solutions in Under 10 Seconds for Vehicle Routing Problems with Time Windows using Commodity Computers
• A comparative study of algorithms for solving the Multiobjective Open-Pit Mining Operational Planning Problems
• A Model to Select a Portfolio of Multiple Spare Parts for a Public Bus Transport Service Using NSGA II.-A Multi-Objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning
• Marginalization in Mexico: An Application of the Electre III[Pleaseinsertintopreamble]MOEA Methodology
• Integrating Hierarchical Clustering and Pareto-Efficacy to Preventive Controls Selection in Voltage Stability Assessment
• Multi-objective Evolutionary Algorithm with Discrete Differential Mutation Operator for Service Restoration in Largescale
• Distribution Systems
• Combining Data Mining and Evolutionary Computation for Multi-Criteria Optimization of Earthworks
• Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: a Survey and a Case Study
• (Application to Music Categorisation)
• A Multi-Objective Approach for Building Hyperspectral Remote Sensed Image Classifier Combiners
• Multi-Objective Optimization of Barrier Coverage with Wireless Sensors
• Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-state Routing.

This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications.

Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
(source: Nielsen Book Data)

Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
(source: Nielsen Book Data)

• Diffusion of Shapes (R S Shaw & N H Packard)
• FDC-Based Particle Swarm Optimization (A Azzini et al.)
• Predictive Neural Networks in the Design of Experiments (D De March et al.)
• Prefrontal Cortex and Action Sequences: A Review on Neural Computational Models (I Gaudiello et al.)
• Bio-Inspired ICT for Evolutionary Emotional Intelligence (M Villamira & P Cipresso)
• Cooperation in Corvids: A Simulative Study with Evolved Robots (O Miglino et al.)
• Distributed Processes in a Agent-Based Model of Innovation (L Ansaloni et al.)
• Imaginary or Actual Artificial Worlds Using a New Tool in the ABM Perspective (P Terna)
• Dynamics of Interconnected Boolean Networks with Scale-Free Topology (C Damiani et al.)
• Semi-Synthetical Minimal Cells (P Stano & P L Luisi)
• and Other Papers.
• (source: Nielsen Book Data)

The Italian community in Artificial Life and Evolutionary computation has grown remarkably in recent years, and this book is the first broad collection of its major interests and achievements (including contributions from foreign countries). The contributions in Artificial Life as well as in Evolutionary Computation allow one to see the deep connections between the two fields. The topics addressed are extremely relevant for present day research in Artificial Life and in Evolutionary Computation, which include important contributions from very well-known researchers. The volume provides a very broad picture of the Italian activities in this field.
(source: Nielsen Book Data)

• Intro
• Preface
• Organization
• Contents
• Applications of Evolutionary Computation
• An Enhanced Opposition-Based Evolutionary Feature Selection Approach
• 1 Introduction
• 2 Moth Flame Optimization
• 2.1 Binary Moth Flame Optimization
• 2.2 Binary Moth Flame Optimization for Feature Selection
• 3 The Proposed Approach
• 3.1 Initialization Using Opposition-Based Method
• 3.2 Retiring Flame
• 4 Experimental Setup and Results
• 5 Conclusions
• References
• A Methodology for Determining Ion Channels from Membrane Potential Neuronal Recordings
• 1 Introduction

• 2 Conductance-Based Model Description
• 3 Defining a Benchmark with Known Types of Ion Channels
• 4 Methodology and Experimental Setup
• 5 Experimental Results
• 6 Conclusions
• A Mathematical Description of the Models
• B Experimental Setup and Parameter Ranges
• References
• Swarm Optimised Few-View Binary Tomography
• 1 Introduction
• 2 Binary Tomographic Reconstruction
• 3 Swarm Optimisation
• 4 Constrained Search in High Dimensions
• 5 Reconstructions
• 6 Results
• 7 Discussion
• 8 Conclusions
• References

• Comparing Basin Hopping with Differential Evolution and Particle Swarm Optimization
• 1 Introduction
• 2 The Metaheuristics Studied
• 2.1 Basin Hopping
• 2.2 Differential Evolution
• 2.3 Particle Swarm Optimization
• 3 The Benchmarking Environment
• 4 Experimental Setup
• 5 Experimental Results
• 6 Conclusions
• References
• Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models
• 1 Introduction
• 2 Methodology
• 2.1 Structured Grammatical Evolution
• 2.2 Random Structured Grammatical Evolution for Symbolic Regression Problems

• 3 Experimental Setup
• 3.1 Study Problems
• 3.2 Configuration of the Algorithms
• 4 Results
• 5 Conclusions
• References
• EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
• 1 Introduction
• 2 Related Works
• 3 Methodology
• 4 Framework Overview
• 4.1 Parameters
• 4.2 Datasets
• 4.3 Clustering with EvoCluster
• 4.4 Classification
• 4.5 Evaluation Measures
• 4.6 Results Management
• 5 Experiments and Visualizations
• 6 Conclusion and Future Works
• References
• Evolution of Acoustic Logic Gates in Granular Metamaterials

• 1 Introduction
• 2 Problem Statement
• 3 Simulation Setup
• 3.1 2D Granular Simulator
• 3.2 Optimization Method
• 4 Results and Discussion
• 4.1 Evolution of an Acoustic Band Gap
• 4.2 Evolving an AND Gate
• 4.3 Evolving an XOR Gate
• 5 Conclusion and Future Work
• References
• Public-Private Partnership: Evolutionary Algorithms as a Solution to Information Asymmetry
• 1 Introduction
• 2 The Problem
• 3 Proposed Approach
• 3.1 The Model
• 3.2 Data
• 3.3 Adversarial Optimization
• 3.4 Operator (EA1)
• 3.5 Public Administration (EA2)
• 4 Experimental Evaluation

This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2022, held as part of Evo*2022, in April 2022, co-located with the Evo*2022 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented in this book were carefully reviewed and selected from 67 submissions. .
(source: Nielsen Book Data)

• On Restricting Real-Valued Genotypes in Evolutionary Algorithms.- Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.- Co-Optimising Robot Morphology and Controller in a Simulated Open-ended Environment.- Multi-objective workforce allocation in construction projects.- Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm based on Decomposition.- Combining Multi-objective Evolutionary Algorithms with deep generative models towards focused molecular design.- A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems.- Evolutionary Grain-Mixing to Improve Profitability in Farming Winter Wheat.- Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites.- Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection.- Real Time Optimisation of Traffic Signals to Prioritise Public Transport.- Adaptive Covariance Pattern Search.- Evaluating the Success-History based Adaptive Differential Evolution in the Protein Structure Prediction problem.- Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-based Soft Robots.- Desirable Objective Ranges in Preference-based Evolutionary Multiobjective Optimization.- Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming.- Automated, Explainable Rule Extraction from MAP-Elites archives.- EDM-DRL: Toward Stable Reinforcement Learning through Ensembled Directed Mutation.- Continuous Ant-Based Neural Topology.- Playing with Dynamic Systems - Battling Swarms in Virtual Reality.- EvoCraft: A New Challenge for Open-Endedness.- A Profile-Based 'GrEvolutionary' Hearthstone Agent.- Modelling Asthma Patients' Responsiveness to Treatment Using Feature Selection and Evolutionary Computation.- Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments.- A Multi-Objective Multi-Type Facility Location Problem for the Delivery of Personalised Medicine.- RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-Layer Neural Networks.- Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming.- EDA-based optimization of blow-off valve positions for centrifugal compressor systems.- 3D-2D Registration using X-ray Simulation and CMA-ES.- Lateralized Approach for Robustness AgainstAttacks in Emotion Categorization from Images.- Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification.- Deep Optimisation: Multi-Scale Evolution by Inducing and Searching in Deep Representations.- Evolutionary Planning in Latent Space.- Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning.- Effective Universal Unrestricted Adversarial Attacks using a MOE Approach.- Improving Distributed Neuroevolution Using Island Extinction and Repopulation.- An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution.- Towards Feature-Based Performance Regression Using Trajectory Data.- Demonstrating the Evolution of GANs through t-SNE.- Optimising diversity in classifier ensembles of classification trees.- WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets.- Evolving Character-Level DenseNet Architectures using Genetic Programming.- Transfer Learning for Automated Test Case Prioritization using XCSF.- On the Effects of Absumption for XCS with Continuous-Valued Inputs.- A NEAT Visualisation of Neuroevolution Trajectories.- Evaluating Models with Dynamic Sampling Holdout.- Event-driven multi-algorithm optimization: mixing Swarm and Evolutionary strategies.- TensorGP - Genetic Programming Engine in TensorFlow.- A novel evolutionary approach for IoT-based water contaminant detection.- Evolutionary Algorithms for Roughness Coefficient Estimation in River Flow Analyses.- EA-based ASV Trajectory Planner for Pollution Detection in Lentic Waters.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 24th International Conference on Applications of Evolutionary Computation, EvoApplications 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events EuroGP, EvoCOP, and EvoMUSART. The 51 revised full papers presented in this book were carefully reviewed and selected from 78 submissions. The papers cover a wide spectrum of topics, ranging from applications of evolutionary computation; applications of deep bioinspired algorithms; soft computing applied to games; machine learning and AI in digital healthcare and personalized medicine; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; parallel and distributed systems; and applications of nature inspired computing for sustainability and development. .
(source: Nielsen Book Data)

• Applications of Evolutionary Computation.- A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation.- EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python.- Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control.- Automatic rule extraction from access rules using Genetic Programming.- Search Trajectory Networks of Population-based Algorithms in Continuous Spaces.- Evolving-controllers versus learning-controllers for morphologically evolvable robots.- Simulation-driven multi-objective evolution for traffic light optimization.- Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites.- EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality.- A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization.- Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction.- Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification.- A method for estimating the computational complexity of multimodal functions.- Locating Odour Sources with Geometric Syntactic Genetic Programming.- Designing cable-stayed bridges with Genetic Algorithms.- A fast, scalable meta-heuristic for network slicing under traffic uncertainty.- What is Your MOVE: Modeling Adversarial Network Environments.- Using evolution to design modular robots: An empirical approach to select module designs.- Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem.- Applications of Bio-inspired techniques on Social Networks.- Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases.- Community Detection in Attributed Graphs with Differential Evolution.- Applications of Deep Bioinspired Algorithms.- Fake news detection using time series and user features classification.- Social Learning vs Self-teaching in a Multi-agent Neural Network System.- Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution.- An Adversarial Optimization Approach for the Development of Robust Controllers.- Soft Computing Applied to Games.- Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game.- Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models.- Learning the Designer's Preferences to Drive Evolution.- Testing hybrid computational intelligence algorithms for general game playing.- Evolutionary Computation in Digital Healthcare and Personalized Medicine.- Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy.- Using Genetic Algorithms for the prediction of cognitive impairments.- Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution.- Evolutionary Machine Learning.- A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks.- Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution.- An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution.- Using Skill Rating as Fitness on the Evolution of GANs.- A Local Search with a Surrogate Assisted Option for Instance Reduction.- Evolutionary Latent Space Exploration of Generative Adversarial Networks.- Neuro-Evolutionary Transfer Learning through Structural Adaptation.- Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks.- Parallel and Distributed Systems.- A MIMD interpreter for Genetic Programming.- Security Risk Optimization for Multi-Cloud Applications.- Using evolutionary algorithms for server hardening via the moving target defense technique.- An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP. The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning. .
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.
(source: Nielsen Book Data)

• Machine generated contents note:
• Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems
• Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms / Sunith Bandaru / Kalyanmoy Deb
• Not All Parents Are Equal for MO-CMA-ES / Tobias Wagner / Heike Trautmann / Luis Marti
• On Sequential Online Archiving of Objective Vectors / Ilya Loshchilov / Marc Schoenauer / Michèle Sebag
• On a Stochastic Differential Equation Approach for Multiobjective Optimization up to Pareto-Criticality / Manuel López-Ibáñez / Joshua Knowles / Marco Laumanns
• Pareto Cone &Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorithms / Ricardo H.C. Takahashi / Eduardo G. Carrano / Elizabeth F. Wanner
• Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms / Lucas S. Batista / Felipe Campelo / Frederico G. Guimarães /

• Note continued:
• Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes / Joseph M. Pasia / Hernán Aguirre / Kiyoshi Tanaka
• Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE / Dhish Kumar Saxena / Qingfu Zhang / João A. Duro / Ashutosh Tiwari
• Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms / Karthik Sindhya / Ana Belen Ruiz / Kaisa Miettinen
• Interactive Multiobjective Mixed-Integer Optimization Using Dominance-Based Rough Set Approach / Marlon Alexander Braun / Pradyumn Kumar Shukla / Hartmut Schmeck
• Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems / Salvatore Greco / Benedetto Matainzzo / Roman Slowinski
• Bilevel Multi-objective Optimization Problem Solving Using Progressively Interactive EMO / Thibaut Lust / Jacques Teghem / Daniel Tuyttens
• Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems / Ankur Sinha
• Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables / Jean Paulo Martins / Antonio Helson Mineiro Soares / Danilo Vasconcellos Vargas / Alexandre Cláudio Botazzo Delbem
• Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints / Hossein Karshenas / Roberto Santana / Concha Bielza / Pedro Larrañaga
• New Memory Based Variable-Length Encoding Genetic Algorithm for Multiobjective Optimization / Rituparna Datta / Kalyanmoy Deb
• Concentration-Based Artificial Immune Network for Multi-objective Optimization / Eduardo G. Carrano / Livia A. Moreira / Ricardo H.C. Takahashi
• Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure / Guilherme Palermo Coelho / Fernando J. Von Zuben

• Note continued:
• Aesthetic Design Using Multi-Objective Evolutionary Algorithms / Rahul Tewari / Rajat Tewari / Ralph E. Steuer / Kalyanmoy Deb
• Introducing Reference Point Using g-Dominance in Optimum Design Consideripg Uncertainties: An Application in Structural Engineering / Ferrie van Hattum / Dirk Loyens / António Gaspar-Cunha
• Multiobjective Dynamic Optimization of Vaccination Campaigns Using Convex Quadratic Approximation Local Search / José M. Emperador / Máximo Méndez / Gabriel Winter / David Greiner / Blas Galván
• Adaptive Technique to Solve Multi-objective Feeder Reconfiguration Problem in Real Time Context / Ricardo H.C. Takahashi / Rodrigo T.N. Cardoso / André R. da Cruz
• Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks / Joao Antonio de Vasconcelos / Walmir Matos Caminhas / Carlos Henrique N. de Resende Barbosa
• Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features / Renata E. Onety / Ricardo H.C. Takahashi / Oriane M. Neto / Gladston J.P. Moreira
• Multi-objective Genetic Algorithm Evaluation in Feature Selection / Jan Salmen / Lukas Caup / Christian Igel
• Cultural Algorithm Applied in a Bi-Objective Uncapacitated Facility Location Problem / Ana Carolina Lorena / Huei Diana Lee / Newton Spolaôr
• Bi-objective Iterated Local Search Heuristic with Path-Relinking for the p-Median Problem / Ricardo Soto / Claudio Cubillos / Guillermo Cabrera / Boris Fernández / Daniela Diaz / José Miguel Rubio
• Framework for Locating Logistic Facilities with Multi-Criteria Decision Analysis / Wellington G. Ribeiro / André G. Santos / Paula M. dos Santos / José E.C. Arroyo
• Lorenz versus Pareto Dominance in a Single Machine Scheduling Problem with Rejection / Gilberto Montibeller / Hugo Yoshizaki

• Note continued:
• GRACE: A Generational Randomized ACO for the Multi-objective Shortest Path Problem / Lionel Amodeo / Farouk Yalaoui / Atefeh Moghaddam
• Modeling Decision-Maker Preferences through Utility Function Level Sets / Marco C. Goldbaiq / Luciana S. Buriol / Leonardo C.T. Bezerra / Elizabeth F.G. Goldbarg
• MCDM Model for Urban Water Conservation Strategies Adapting Simos Procedure for Evaluating Alternatives Intra-criteria / Luciana R. Pedro / Ricardo H.C. Takahashi
• Multicriteria Decision Model for a Combined Burn-In and Replacement Policy / Marcele Elisa Fontana / Danielle Costa Morais / Adiel Teixeira de Almeida
• Applying a Multicriteria Decision Model So as to Analyse the Consequences of Failures Observed in RCM Methodology / Cristiano Alexandre Virginio Cavalcante
• Supplier Selection Based on the PROMETHEE VI Multicriteria Method / Marcelo Hazin Alencar / Adiel Teixeira Almeida.

This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011, held in Ouro Preto, Brazil, in April 2011. The 42 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers deal with fundamental questions of EMO theory, such as the development of algorithmically efficient tools for the evaluation of solution-set quality, the theoretical questions related to solution archiving and others. They report on the continuing effort in the development of algorithms, either for dealing with particular classes of problems or for new forms of processing the problem information. Almost one third of the papers is related to EMO applications in a diversity of fields. Eleven papers are devoted to promote the interaction with the related field of Multi-Criterion Decision Making (MCDM).
(source: Nielsen Book Data)

• A New Local Search Algorithm for the DNA Fragment Assembly Problem.- A Hybrid Immune-Based System for the Protein Folding Problem.- A Genetic Algorithm for the Resource Renting Problem with Minimum and Maximum Time Lags.- A Probabilistic Beam Search Approach to the Shortest Common Supersequence Problem.- Genetic Algorithms for Word Problems in Partially Commutative Groups.- A GRASP and Branch-and-Bound Metaheuristic for the Job-Shop Scheduling.- Reducing the Size of Traveling Salesman Problem Instances by Fixing Edges.- Iterated k-Opt Local Search for the Maximum Clique Problem.- Accelerating Local Search in a Memetic Algorithm for the Capacitated Vehicle Routing Problem.- Evolutionary Algorithms for Real-World Instances of the Automatic Frequency Planning Problem in GSM Networks.- A New Metaheuristic for the Vehicle Routing Problem with Split Demands.- Generation of Tree Decompositions by Iterated Local Search.- Edge Assembly Crossover for the Capacitated Vehicle Routing Problem.- Tackling the Container Loading Problem: A Hybrid Approach Based on Integer Linear Programming and Genetic Algorithms.- A Population-Based Local Search for Solving a Bi-objective Vehicle Routing Problem.- Combining Lagrangian Decomposition with an Evolutionary Algorithm for the Knapsack Constrained Maximum Spanning Tree Problem.- Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling.- An Analysis of Problem Difficulty for a Class of Optimisation Heuristics.- A New Grouping Genetic Algorithm for the Quadratic Multiple Knapsack Problem.- A Hybrid Method for Solving Large-Scale Supply Chain Problems.- Crossover Operators for the Car Sequencing Problem.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2007, held in Valencia, Spain in April 2007. The 21 revised full papers cover evolutionary algorithms as well as various other metaheuristics, like scatter search, tabu search, memetic algorithms, variable neighborhood search, ant colony optimization, and particle swarm optimization algorithms.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 6th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2006, held in Budapest, Hungary in April 2006. The 24 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers cover evolutionary algorithms as well as various other metaheuristics, like scatter search, tabu search, memetic algorithms, variable neighborhood search, greedy randomized adaptive search procedures, ant colony optimization, and particle swarm optimization algorithms. The papers deal with representations, heuristics, analysis of problem structures, and comparisons of algorithms. The list of studied combinatorial optimization problems includes prominent examples like graph coloring, knapsack problems, the traveling salesperson problem, scheduling, graph matching, as well as specific real-world problems.
(source: Nielsen Book Data)

This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995.The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain.
(source: Nielsen Book Data)

• Overall Design and Fundations.- Hybrid Multi-agent Systems: Integrating Swarming and BDI Agents.- An Analysis and Design Concept for Self-organization in Holonic Multi-agent Systems.- Design Patterns for Decentralised Coordination in Self-organising Emergent Systems.- Measuring Stigmergy: The Case of Foraging Ants.- Algorithms and Techniques.- Dynamic Decentralized Any-Time Hierarchical Clustering.- Behaviosites: A Novel Paradigm for Affecting Distributed Behavior.- Applications.- Programming Modular Robots with the TOTA Middleware.- ASOS: An Adaptive Self-organizing Protocol for Surveillance and Routing in Sensor Networks.- Towards the Control of Emergence by the Coordination of Decentralized Agent Activity for the Resource Sharing Problem.- Self-organization and Evolutionary Computing.- Reinforcement Learning for Online Control of Evolutionary Algorithms.- Greedy Cheating Liars and the Fools Who Believe Them.- Evolution and Hypercomputing in Global Distributed Evolvable Virtual Machines Environment.- A Decentralised Car Traffic Control System Simulation Using Local Message Propagation Optimised with a Genetic Algorithm.
• (source: Nielsen Book Data)

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Engineering Self-Organising Applications, ESOA 2006, held in Hakodate, Japan in May 2006. This was an associated event of AAMAS 2006, the 5th International Joint Conference on Autonomous Agents and Multi-Agent Systems. The seven full papers presented together with six invited papers were carefully selected for inclusion in the book.
(source: Nielsen Book Data)

• pt. 1. Self-organising mechanisms
• pt. 2. Methodologies, models and tools
• pt. 3. Applications.

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Engineering Self-Organising Applications, ESOA 2005, held in Utrecht, The Netherlands in July 2005 as an associated event of AAMAS 2005. The 12 revised full papers and 6 revised short papers presented were carefully selected during two rounds of reviewing and improvement from 25 submissions. The papers are organized in topical sections on novel self-organising mechanisms, methodologies, models and tools for self-organising applications, and specific applications of self-organising mechanisms.
(source: Nielsen Book Data)

Self-organisation, self-regulation, self-repair, and self-maintenance are promising conceptual approaches to deal with the ever increasing complexity of distributed interacting software and information handling systems. Self-organising applications are able to dynamically change their functionality and structure without direct user intervention to respond to changes in requirements and the environment. This book comprises revised and extended papers presented at the International Workshop on Engineering Self-Organising Applications, ESOA 2004, held in New York, NY, USA in July 2004 at AAMAS as well as invited papers from leading researchers. The papers are organized in topical sections on state of the art, synthesis and design methods, self-assembly and robots, stigmergy and related topics, and industrial applications.
(source: Nielsen Book Data)

• Fairer comparisons for Travelling Salesman Problem solutions using Hash Functions
• Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries
• Real-World Vehicle Routing using Adaptive Large Neighborhood Search
• A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning
• A memetic algorithm for deinterleaving pulse trains
• Application of Negative Learning Ant Colony Optimization to the Far From Most String Problem
• Monte Carlo Tree Search with Adaptive Simulation: a Case Study on Weighted Vertex Coloring
• Evolutionary Strategies for the Design of Binary Linear Codes
• A Policy-Based Learning Beam Search for Combinatorial Optimization
• Cooperative Coevolutionary Genetic Programming Hyper Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing
• OneMax is not the Easiest Function for Fitness Improvements
• The Cost of Randomness in Evolutionary Algorithms: Crossover Can Save Random Bits
• Multi-objectivization Relaxes Multi-funnel Structures in Singleobjective NK-landscapes
• Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation
• On the e_ect of solution representation and neighborhood definition in AutoML Fitness Landscapes.

This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP. The 15 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.

This book constitutes the refereed proceedings of the 8th International Conference on Parallel Problem Solving from Nature, PPSN 2004, held in Birmingham, UK, in September 2004. The 119 revised full papers presented were carefully reviewed and selected from 358 submissions. The papers address all current issues in biologically inspired computing; they are organized in topical sections on theoretical and foundational issues, new algorithms, applications, multi-objective optimization, co-evolution, robotics and multi-agent systems, and learning classifier systems and data mining.
(source: Nielsen Book Data)

Annotation Genetic Algorithms Genetic Programming Evolution Strategies Evolutionary Programming Differential Evolution Artificial Immune Systems Particle Swarm Optimization Ant Colony Optimization Bacterial Foraging Artificial Bees Harmony Search Gravitational search algorithm Quantum Computing Memetic Computing Fireflies Algorithm Hybridization of Algorithms Imperialism Competitive Learning Tabu Search Simulated Annealing Bat Algorithm intelligent water drop Other Metaheuristics.

• Set Oriented Numerics
• Computational Game Theory
• Machine Learning Applied to Networks
• Complex Networks and Landscape Analysis
• Local Search and Optimization
• Genetic Programming
• Evolutionary Multiobjective Optimization
• Practical Aspects of Evolutionary Algorithms.

This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1-4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner's view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner's perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

• Adaptation, Self-Adaptation and Parameter Tuning
• Classifier Systems, Differential Evolution and Swarm Intelligence
• Coevolution and Artificial Immune Systems
• Constraint Handling
• Dynamic and Uncertain Environments
• Estimation of Distribution Algorithms and Metamodelling
• Genetic Programming
• Multi-objective Optimisation
• Parallel Algorithms and Hardware Implementations
• Real-World Applications
• Theory.

This book constitutes the refereed proceedings of the 13th International Conference on Parallel Problem Solving from Nature, PPSN 2013, held in Ljubljana, Slovenia, in September 2014. The total of 90 revised full papers were carefully reviewed and selected from 217 submissions. The meeting began with 7 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN XIII also included 9 tutorials. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; classifier system, differential evolution and swarm intelligence; coevolution and artificial immune systems; constraint handling; dynamic and uncertain environments; estimation of distribution algorithms and metamodelling; genetic programming; multi-objective optimisation; parallel algorithms and hardware implementations; real world applications; and theory.

• Computational brittleness and the evolution of computer viruses
• Evolutionary computing in multi-agent environments: Speciation and symbiogenesis
• Evolution strategies with subjective selection
• Emergent cooperation for multiple agents using genetic programming
• Evolution programs evolved
• Encoding scheme issues for open-ended artificial evolution
• Hardware evolution at function level
• Coevolutionary life-time learning
• Genetic programs and co-evolution
• Self-assemblage of gene nets in evolution via recruiting of new netters
• A survey of intron research in genetics
• Analytical and numerical investigations of evolutionary algorithms in continuous spaces
• On the asymptotic behavior of multirecombinant Evolution Strategies
• Are long path problems hard for genetic algorithms?
• Random tree generation for genetic programming
• Implicit formae in genetic algorithms
• A probabilistic database approach to the analysis of genetic algorithms
• Mean field analysis of tournament selection on a random manifold
• From recombination of genes to the estimation of distributions I. Binary parameters
• From recombination of genes to the estimation of distributions II. Continuous parameters
• Searching in the presence of noise
• The density of states
• A measure of the difficulty of optimisation problems
• On interactive evolutionary algorithms and stochastic mealy automata
• The influence of different coding schemes on the computational complexity of genetic algorithms in function optimization
• An analysis of the effects of neighborhood size and shape on local selection algorithms
• Evolutionary computation at the edge of feasibility
• Dimensional analysis of allele-wise mixing revisited
• Gaussian diffusion in a simple genetic algorithm
• Erroneous truncation selection
• A breeder's decision making perspective
• New crossover methods for sequencing problems
• The effect of extensive use of the mutation operator on generalization in genetic programming using sparse data sets
• On permutation representations for scheduling problems
• Multi-parent's niche: N-ary crossovers on NK-landscapes
• A preliminary investigation into directed mutations in evolutionary algorithms
• Heuristic crossovers for real-coded genetic algorithms based on fuzzy connectives
• Are evolutionary algorithms improved by large mutations?
• Mutation by imitation in boolean evolution strategies
• Formal algorithms + formal representations =search strategies
• A genetic algorithm with variable range of local search for tracking changing environments
• An Evolution Strategy with adaptation of the step sizes by a variance function
• Every niching method has its niche: Fitness sharing and implicit sharing compared
• Effects of isolation in a distributed population genetic algorithm
• Self-adaptive genetic algorithm for numeric functions
• Niche search: An evolutionary algorithm for global optimisation
• Adaptively parameterised evolutionary systems: Self adaptive recombination and mutation in a genetic algorithm
• Obtaining multiple distinct solutions with genetic algorithm niching methods
• Cost Based Operator Rate Adaptation: An investigation
• Genetic algorithms and relational landscapes
• IOGA: An instance-oriented genetic algorithm
• Explicit filtering of building blocks for genetic algorithms
• Multi-objective optimization by means of the thermodynamical genetic algorithm
• Adaptation to a changing environment by means of the thermodynamical genetic algorithm
• The development of a dual-agent strategy for efficient search across whole system engineering design hierarchies
• A parallel cellular genetic algorithm used in finite element simulation
• A robust solution searching scheme in genetic search
• Solving MasterMind using GAs and simulated annealing: A case of dynamic constraint optimization
• Evolving compact solutions in genetic programming: A case study
• Climbing up NP-hard hills
• On the performance assessment and comparison of stochastic multiobjective optimizers
• Paginating the generalized newspapers
• A comparison of simulated annealing and a heuristic method
• A comparison of optimization techniques for integrated manufacturing planning and scheduling
• A comparison of search techniques on a wing-box optimisation problem
• A comparative study of evolutionary algorithms for on-line parameter tracking
• Modeling urban growth by cellular automata
• Democratic optimization for discrete and continuous systems
• A study of some properties of Ant-Q
• Immunoid: An immunological approach to decentralized behavior arbitration of autonomous mobile robots
• Parallelizable evolutionary dynamics principles for solving the maximum clique problem
• Significance of locality and selection pressure in the grand deluge evolutionary algorithm
• Parallel computing with DNA: Toward the anti-universal machine
• Tackling the "curse of dimensionality" of radial basis functional neural networks using a genetic algorithm
• A Three-stage method for designing Genetic Fuzzy Systems by learning from examples
• Learning heuristics for OBDD minimization by Evolutionary Algorithms
• Improving the generalization performance of multi-layer-perceptrons with population-based incremental learning
• Robust GP in robot learning
• A pattern recognition system using evolvable hardware
• Topology design of feedforward neural networks by genetic algorithms
• An evolution strategy for on-line optimisation of dynamic objective functions
• Exploiting competing subpopulations for automatic generation of test sequences for digital circuits
• Constraint handling in evolutionary search: A case study of the frequency assignment
• An application of genetic algorithms and neural networks to scheduling power generating systems
• Evolutionary algorithms for the calculation of electron distributions in Si-MOSFETs
• Refueling of a nuclear power plant: Comparison of a naive and a specialized mutation operator
• Genetic algorithms applied to the physical design of VLSI circuits: A survey
• Stochastic methods for transistor size optimization of CMOS VLSI circuits
• An adaptive parallel Genetic Algorithm for VLSI-layout optimization
• Genetic algorithms for protocol validation
• Constraint handling for the fault coverage code generation problem: An inductive evolutionary approach
• New genetic local search operators for the traveling salesman problem
• An evolutionary approach to hardware/software partitioning
• Evolutionary Air Traffic Flow Management for large 3D-problems
• Genetic-based dynamic load balancing: Implementation and evaluation
• Production scheduling with genetic algorithms and simulation
• Network optimization using evolutionary strategies
• Co-evolving parallel random number generators
• Scheduling by genetic local search with multi-step crossover
• Finding the conformation of organic molecules with genetic algorithms
• Investigating a Parallel Breeder Genetic Algorithm on the inverse Aerodynamic design
• An evolutionary design for f-? lenses
• Optimization of heat exchanger networks by means of evolution strategies
• Industrial plant pipe-route optimisation with genetic algorithms
• An evolutionary algorithm for design optimization of microsystems
• A learning classifier system for three-dimensional shape optimization.

This book constitutes the refereed proceedings of the International Conference on Evolutionary Computation held jointly with the 4th Conference on Parallel Problem Solving from Nature, PPSN IV, in Berlin, Germany, in September 1996. The 103 revised papers presented in the volume were carefully selected from more than 160 submissions. The papers are organized in sections on basic concepts of evolutionary computation (EC), theoretical foundations of EC, modifications and extensions of evolutionary algorithms, comparison of methods, other metaphors, and applications of EC in a variety of areas like ML, NNs, engineering, CS, OR, and biology. The book has a comprehensive subject index.

This book constitutes the refereed proceedings of the Third International Symposium on Intelligence Computation and Applications, ISICA 2008, held in Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about 700 submissions. The papers are organized in topical sections on computational intelligence, evolutionary computation, evolutionary multi-objective and dynamic optimization, evolutionary learning systems, neural networks, classification and recognition, bioinformatics and bioengineering, evolutionary data mining and knowledge discovery, intelligent GIS and control, theory of intelligent computation, combinational and numerical optimization, as well as real-world applications.
(source: Nielsen Book Data)

• Multiobjective Evolutionary Optimization.- A New Evolutionary Decision Theory for Many-Objective Optimization Problems.- A Multi-Objective Genetic Algorithm Based on Density.- Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization.- A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization.- Study on Application of Multi-Objective Differential Evolution Algorithm in Space Rendezvous.- The Multi-objective ITO Algorithms.- An Evolutionary Algorithm for Dynamic Multi-Objective TSP.- The Construction of Dynamic Multi-objective Optimization Test Functions.- An Effective Dynamical Multi-objective Evolutionary Algorithm for Solving Optimization Problems with High Dimensional Objective Space.- Evolutionary Algorithms and Operators.- Operator Adaptation in Evolutionary Programming.- A Comparison of GAs Using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Average Capacity Knapsack.- About the Limit Behaviors of the Transition Operators Associated with EAs.- Differential Evolution Algorithm Based on Simulated Annealing.- A Novel Memetic Algorithm for Global Optimization Based on PSO and SFLA.- Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation.- A Granular Evolutionary Algorithm Based on Cultural Evolution.- A Self-adaptive Mutations with Multi-parent Crossover Evolutionary Algorithm for Solving Function Optimization Problems.- Evolutionary Optimization.- A Quantum Genetic Simulated Annealing Algorithm for Task Scheduling.- Optimized Research of Resource Constrained Project Scheduling Problem Based on Genetic Algorithms.- An Evolutionary Agent System for Mathematical Programming.- Agent-Based Coding GA and Application to Combat Modeling and Simulation.- A Two-Stage Genetic Algorithm for the Multi-multicast Routing.- A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization.- Performance Evaluation of Three Kinds of Quantum Optimization.- An Efficient Multilevel Algorithm for Inverse Scattering Problem.- Evolutionary Learning.- A New Evolutionary Neural Network and Its Application for the Extraction of Vegetation Anomalies.- Dynamic System Evolutionary Modeling: The Case of SARS in Beijing.- An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning.- Gene Expression Programming with DAG Chromosome.- Neural Networks.- Zhang Neural Network for Online Solution of Time-Varying Sylvester Equation.- A Global Optimization Algorithm Based on Novel Interval Analysis for Training Neural Networks.- Approximate Interpolation by Neural Networks with the Inverse Multiquadric Functions.- Decomposition Mixed Pixel of Remote Sensing Image Based on Tray Neural Network Model.- A Novel Kernel Clustering Algorithm Based Selective Neural Network Ensemble Model for Economic Forecasting.- An Evolutionary Neural Network Based Tracking Control of a Human Arm in the Sagittal Plane.- Ant Colony, Particle Swarm Optimization and Artificial Immune Systems.- New Ant Colony Optimization for Optimum Multiuser Detection Problem in DS-CDMA Systems.- A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy.- Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation.- Particle Swarm Optimization Using Levy Probability Distribution.- Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation.- An Improved Multi-Objective Particle Swarm Optimization Algorithm.- Dynamic Population Size Based Particle Swarm Optimization.- An Improved Particle Swarm Optimization for Data Streams Scheduling on Heterogeneous Cluster.- A Steepest Descent Evolution Immune Algorithm for Multimodal Function Optimization.- A Hybrid Clonal Selection Algorithm Based on Multi-parent Crossover and Chaos Search.- Pattern Recognition.- Spatial Clustering Method Based on Cloud Model and Data Field.- Diversity Analysis of Information Pattern and Information Clustering Algorithm.- Instant Message Clustering Based on Extended Vector Space Model.- Continuous K-Nearest Neighbor Queries for Moving Objects.- Texture Classification of Aerial Image Based on Bayesian Networks with Hidden Nodes.- Human Motion Recognition Based on Hidden Markov Models.- Data Mining.- Parameter Setting for Evolutionary Latent Class Clustering.- Automatic Data Mining by Asynchronous Parallel Evolutionary Algorithms.- Texture Image Retrieval Based on Contourlet Coefficient Modeling with Generalized Gaussian Distribution.- Heterogeneous Spatial Data Mining Based on Grid.- A Clustering Scheme for Large High-Dimensional Document Datasets.- Intelligent Systems.- Self-tuning PID Control of Hydro-turbine Governor Based on Genetic Neural Networks.- Adaptive Rate Selection Scheme Based on Intelligent Learning Algorithm in Wireless LANs.- The Research on Generic Project Risk Element Network Transmission Parallel Computing Model.- On the Performance of Metamodel Assisted MOEA/D.- A High Precision OGC Web Map Service Retrieval Based on Capability Aware Spatial Search Engine.- Analysis of the Performance of Balance of Digital Multi-value Based on Chebyshev Chaotic Sequence.- The Transformation Between Fuzzy Cognitive Maps and a Class of Simplified Dynamical Cognitive Networks.- Evolutionary Design.- Cryptanalysis of Two-Round DES Using Genetic Algorithms.- A Novel Artistic Image Generation Technique: Making Relief Effects Through Evolution.- Data Genome: An Abstract Model for Data Evolution.- Intrinsic Evolution of Frequency Splitter with a New Analog EHW Platform.- Towards the Role of Heuristic Knowledge in EA.- Using Instruction Matrix Based Genetic Programming to Evolve Programs.- Fuzzy Pattern Rule Induction for Information Extraction.- An Orthogonal and Model Based Multiobjective Genetic Algorithm for LEO Regional Satellite Constellation Optimization.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second International Symposium on Intelligence Computation and Applications, ISICA 2007, held in Wuhan, China, in September 2007. The 71 revised full papers cover such topics as evolutionary computation, evolutionary learning, neural networks, swarms, pattern recognition, and data mining.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 5th International Conference on Evolvable Systems, ICES 2003, held in Trondheim, Norway in March 2003. The 41 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on evolution, fault tolerance and fault recovery, evolutionary development, POEtic tissue and circuits, applications, evolution of digital circuits, hardware challenges, evolutionary hardware, neural systems, logic design, evolution strategies, and future technologies.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 4th International Conference on Evolvable Systems, ICES 2001, held in Tokyo, Japan in October 2001. The 30 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on evolutionary design of electronic circuits, embryonic electronics, biologically-based systems, evolutionary robotics, evolutionary optimization, evolutionary learning, and applications.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware, ICES '98, held in Lausanne, Switzerland in September 1998. The 38 revised papers presented were carefully selected for inclusion in the book from numerous submissions. The papers are organized in topical sections on evaluation of digital systems, evolution of analog systems, embryonic electronics, bio-inspired systems, artifical neural networks, adaptive robotics, adaptive hardware platforms, and molecular computing.
(source: Nielsen Book Data)

• Nature-inspired techniques for telecommunication networks and other parallel and distributed systems
• Evolutionary algorithms and complex systems
• Evolutionary computation in energy applications
• Evolutionary and natural computation in finance and economics
• Bio-inspired algorithms in games
• Evolutionary computation in image analysis, signal processing, and pattern recognition
• Nature-inspired techniques in industrial settings
• Bio-inspired algorithms for continuous parameter optimization
• Parallel implementation of evolutionary algorithms
• Computational intelligence for risk management, security and defence applications
• Evolutionary computation in robotics
• Evolutionary algorithms in stochastic and dynamic environments
• EC and related techniques in bioinformatics and computational biology.

This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2014, held in Granada, Spain, in April 2014, colocated with the Evo* 2014 events EuroGP, EvoCOP, and EvoMUSART. The 79 revised full papers presented were carefully reviewed and selected from 128 submissions. EvoApplications 2014 consisted of the following 13 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), EvoSTOC (evolutionary algorithms in stochastic and dynamic environments), and EvoBio (EC and related techniques in bioinformatics and computational biology).

• Identifying Regulatory Sites Using Neighborhood Species.- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs.- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction.- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data.- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification.- Understanding Signal Sequences with Machine Learning.- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization.- Modeling Genetic Networks: Comparison of Static and Dynamic Models.- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data.- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation.- Evolutionary Search for Improved Path Diagrams.- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment.- Towards Evolutionary Network Reconstruction Tools for Systems Biology.- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites.- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks.- Tuning ReliefF for Genome-Wide Genetic Analysis.- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms.- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines.- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines.- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives.- Virtual Error: A New Measure for Evolutionary Biclustering.- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters.- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes.- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms.- Classification of Cell Fates with Support Vector Machine Learning.- Reconstructing Linear Gene Regulatory Networks.- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment.- Substitution Matrix Optimisation for Peptide Classification.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
(source: Nielsen Book Data)

• Artificial neural networks.- Fuzzy inference systems.- Rough set.- Approximate reasoning.- Optimization methods such as evolutionary computation, swarm intelligence, particle swarm optimization.
• (source: Nielsen Book Data)

This book constitutes the revised selected papers of the 9th Italian Workshop on Advances in Artificial Life and Evolutionary Computation held in Vietri sul Mare, Italy, in May 2014, in conjunction with the 24th Italian Workshop on Neural Networks, WIRN 2014. The 16 papers presented have been thoroughly reviewed and selected from 40 submissions. They cover the following topics: artificial neural networks; fuzzy inference systems; rough set; approximate reasoning; and optimization methods such as evolutionary computation, swarm intelligence, particle swarm optimization.
(source: Nielsen Book Data)

• Advantages of Cross-Border Acquisition under International Financial Crisis / Zuoling Nie, Yuhai Su and Chong-jin Wang
• A New Extension of LBP for Texture Classification / Kunlun Li and Pan Wang
• Adaptive Backstepping Control for Nonlinear Systems Using Support Vector Regression / Liu Yinan, Zhang Shengxiu, Cao Lijia and Zhang Chao
• The Application of Data Mining Technology in the Breakdown Maintenance of Warship Equipment / Hua Rong, Mingrong Chen and Zhen Wang
• Intrusion Detection Based on Immune Principles and Fuzzy Association Rules / Zhang Lei, Meng Lingrui and Hou Chunjie
• Temperature Model for FOG Zero-Bias Using Gaussian Process Regression / He Zhikun, Liu Guangbin, Zhao Xijing and Yang Jian
• Pulse Wave Averaging Computation and Clinical Verification / Li Yang and Yunan Hu
• Conditional Fault Diagnosis of Bubble Sort Graphs under the PMC Model / Shuming Zhou, Jian Wang, Xirong Xu and Jun-Ming Xu
• Process Simulation of Micro Device with Virtual Reality Technology / Zheng Liu and Hua Chen
• Intelligent Control of Beer Fermentation Temperature / Tianli Li
• Discussion on Enterprise Emergency Management Decision Support System / Wenchang Liu.

• Shallow Parsing of Chinese Based on HMM Model / Zheng Weifa and Xie Wenliang
• Application of Seismic Sedimentology Method to Beach-Bar Depositional System / Guo Jianqing and Lin Chengyan
• Visual Sign System Design of Modern Office Building / Shen Lei
• Research on Image Intensity Based on Matlab / Wang Yueping and Yi Zhi'an
• A Novel Digital Audio Watermarking Algorithm Based on Wavelet Transforming / Liu Yanjun
• The Demonstrating and Monitoring Software of Robot Control System / Zou Huan, Zhang Xueping, Yang Yanxin and Wang Xin
• Discussion on Training Mode of Entrepreneurial Talent in Electronic Business / Jin Tao
• The Design ECU of Vehicle with the Use of Controller Integrated PICI18F258 SCM / Shujun Hua
• Encrypt Hardware Device Based on Cryptographic Algorithm / Chen Cong
• The Data Mining Technology in the Application of Graduates' Employment / Hu Yan
• Application Research of Virtual Reality Technology in Electronic Technique Teaching / Hu Liang and Bi Xiaoming
• The Platform Design of Practice Teaching in the Electromechanical Major That Based on the Virtual Reality Technique / Hu Liang, Yang Wen and Huang Chengzhong.

• The Exploration Model of New-Type Software and the Application in the System Exploration of Teacher Management / Cao Yu
• Education Software Design of Electronic Technique That Based on Virtual Reality Technology / Hu Liang and Bi Xiaoming
• Study on Innovation Education Technology Based on New Computer Technology / Cao Yu
• Research on Multimedia Database / Hu Liang, Huang Manyuan and Huang Chengzhong
• The Experimental Teaching Platform of Mechanotronics Major That Based on Java EE Technology / Hu Liang and Huang Chengzhong
• The Analysis of Grid Database Technology in the Computer Application System / Juan Chen
• Study of Smart Warehouse Management System Based on the IOT / Wen Ding
• Design and Implementation of Visual C + + Based Digital Image Processing System / Hu Liang
• A New Multi-chaos Based Image Encryption Algorithm / Nan Lin, Xiaofeng Guo, Ping Xu and Yuqin Wang
• Performance of an Optical Packet Switch with Limited Wavelength Converter / Jie Li
• Time Petri Net-Based Software Reliability Analysis / Maoqiang Yang
• Digital Evidence Protection Model with Batch-Verifying and Public Verifiability for Computer Forensics / Zhao-Hui Qi, Zhan-Feng Gao, Ying-Ming Shen and Bing-Xin Han.

• Finite Element Analysis of a Bus Skeleton and Structure Improvement / Fachao Jiang, Yuezhen Fan, Entuo Liu and Molin Wang
• Design on a New Energy Lawn Mower: Fuel Cell Lawn Mower / Fachao Jiang, Entuo Liu and Molin Wang
• Study on the SRI Sensing Characteristics of PFBG and TFBG / Rensheng Shen, Wen Lin, Xiangping Li, Xiao Zhang and Guotong Du
• E-Commerce Case Study of Fast Fashion Industry / Zhenxiang Wei and Lijie Zhou
• Rapid Impulsive Noise Denoising in Range Images / Jian Wang, Zhen-qiang Yao, Lin Mei, Yao-jie Zhu and Yuan Yao, et al.
• Study on Race and Hazard of Combinational Logic Circuit / Wang Xiuling and Wang Haocheng
• Approach to Analyze Time Series Similarity Pattern Mining Based on Haar / Li Yi
• Design of a Four-Annulus Integrated Disk Electrode for Bioelectrical Impedance Spectroscopy Measurement / Kening Wang, Xiongxing Zhang and Wei Wang
• Development of Frequency and Power Control System Hardware-in-Loop Simulation Platform for Ship Power Plant / Sun Bin, Zeng Fan-ming, Zhang Wei-dong and Zhao Hua
• Control of Sludge Recycle Flow in Wastewater Treatment Plants Using Fuzzy Logic Controller / Wangyani.

• Research and Application of Embedded Real-Time Operating System / Zhangbo
• A PCA-Based Automated Method for Determination of Human Body Orientation / Weihe Wu, Aimin Hao, Wentao Wang and Yiqiang Wang
• GPU-Based Large Seismic Data Parallel Compression / Kai Xie, H.Q. Yu and G.Y. Lu
• Transform Optimization Based on Color Image Compression / Kai Xie, H.Q. Yu and G.Y. Lu
• The Resilience Framework for Interdependent Infrastructure Systems Using the Dynamic Inoperability Input-Output Model / Wenping Xu, Zhiwu Wang, Mingsheng Hu, Liu Hong and Xueguang Chen, et al.
• Multi-source Separation Using over Iterative Empirical Mode Decomposition / Yutian Wang, Hui Wang and Qin Zhang
• Paraphrase Based Similar Expression Generation / Wei He, Zhanyi Liu and Ting Liu
• Parameters Allocation of Genetic Algorithm Based on RSSI of DSRC Communication / Chun-Liang Chen
• Identification of FOG Multivariable Model Based on Fuzzy Relation / Zhao Xijing, Wang Lixin, He Zhikun and Li Rui
• An Improved Ant Colony Algorithm Combined with Genetic Algorithm and Its Application in Image Segmentation / Zhou Haifeng.

• Paper's Indirect Strain Control Bases on Inverter / Tianli Li
• Study on the Online Clustering Algorithm Based on Grid Structure / Wu Peng, Jia Jun and Zhu Tianxiang
• The Measurement of Low-Level 220Rn by Software Delayed Coincidence Method / Yan Yongjun, Lai Wei and Zhou Jianliang
• An Optimization of Intelligent Fire Alarm System for High-Rise Building Based on ANASYS / Liu Keding
• Coal Mine Safety Monitoring and Evaluation System Based on .Net / Zhang Chunzhi, Hu Guangzhou, Li Haoru and Wang Kejia
• Research on Web Information Filter Model / Liu Yiqin
• Power Flow and Power Flow Calculation Research in Power System / Li Jun
• The Analysis and Design of Human Resources Information Sharing System in University / Jiang Yan
• The Application Research of Multimedia Database in Innovative Venturing Course / Wu Binying, Chen Shiqiang and Fang Li
• Design and Realization of WCDMA Project Simulation System / Yehui Liu and Huaiqun Wang
• The Application of Computer Technology in the Interior Decoration Project / Qiu Yu and Qiu Jing
• The Application of Image Recognition Technique in Candidate's Identity Authentication System / Gu Hongjiu.

• Research on the Security Risk Assessment and the Solutions of Cloud Computing / Wen Ding
• The Study of Security Management Platform Technology and Methods Based on Cloud Computing / Zhang Jie
• Data Mining in the Application of E-Commerce Website / Gu Hongjiu
• Analysis of Security Mechanism in Web Database Application System / Juan Chen
• The Research and Summary of Evolutionary Multi-objective Optimization Algorithm / Xu Jingqi
• A Finite-Time Convergent Variable Structure Guidance Law with Impact Angle Constraint / Zuo-e Fan, Xian-jun Shi, Chang-peng Pan and Wen-jin Gu
• Highway Traffic Automatic Detection System Based on Video and Image Processing / Jiang Ying
• An Improvement to Leach-Based Routing Algorithm / Liu Re and Wang Xiu-Ping
• Specifying API Trace Birthmark by Abstract Interpretation / Ying Zeng, Fenlin Liu, Jian Chen and Bin Yan
• Extracting Semantic Information from Chinese Language Patent Claims / Yong Tang, Shihan Yang, Jiwen Chai and Shanmei Liu
• Sensitivity Analysis on the Influence Factors of Software Reliability Based on Diagnosis Reasoning / Li Qiuying, Li Haifeng and Wang Guodong
• Study on Method of Layer Modelling in Geological Body Visualization / Niu Wenjie.

• Design and Realization of a Novel Low-Voltage High-Efficiency On-Chip Current Sensing Technique / Wei HaiLong, Geng ZengJian, Liu Zhi and Liao Xue
• Construction of Mamdani Fuzzy Classifier Based on Genetic Algorithm / Zhou Weihong and Xiong Shunqing
• Change Detection Using High Spatial Resolution Remotely Sensed Imagery / Zhang Ruihua and Wu Jin
• Optimization of BP Neural Network Classifier Using Genetic Algorithm / Zhou Weihong and Xiong Shunqing
• Output-Feedback Stabilization of Discrete-Time Systems with Multiple Time-Varying Delays / Li Zhang and Fule Li
• An Improved OTP Authentication System and Its Application in Mobile Commerce / Ye Xi
• Research on ESC Hydraulic Control Unit Property and Pressure Estimation / Liu Wei, Ding Haitao and Guo Konghui
• The Emotional Robot Model Based on Endocrine System / Huang Guorui
• Research on the New Channel Estimation Algorithm for MIMO-OFDM System Based on Training Sequence / Zhigang Yang
• The Research and Implementation of Technology of Generating Test Paper Based on Genetic Algorithm / Shao Ming-zhu, Li Wei-feng and Du Jing-yi
• Intelligent Control Technology for Frequency Conversion Pump in Air Conditioning Systems / Shizhong Yang and Qingchang Ren.

• The Application and Development of Photoelectric Sensor / Zheng Chunjiao
• Online Random Seeking in FLV Video Based on File Cutting / Zhihui Du, Wenjun Fan, Yunpeng Chai and Tianle Zhang
• A Self-Adaptive Sliding Window Technique for Mining Data Streams / Yi Yang and Guojun Mao
• The CAD Solutions in Highway Landscape Greening / Yin Guangli and Qian Shao
• Using Genetic Algorithm to Improve Gray Watermark Algorithm / Jianbing Yi and Qiuen Xie
• A New Secure Windows Terminal Based on Dual-Subsystem Architecture / Li XinMing, Li Yi, Zhang GongXuan and Wang XiaoMei
• OsgAL-Based Sound Source Management in Simulation Games / Xin Li, Dehui Kong and Yong Zhang
• An Automatic Extraction Method of Surveillance Visual Context / Haozhe Liang, Shukui Xu and Guohui Li
• Improved Method of the PSF Parameters Estimation for Image Restoration / Zeng Liang, Zhou Yang and Yang Yingyuna
• Image Enhancement Based on NSCT / Ma Changxia, Bi Ye, Jiang Hongan, Chen Yunping and Zhang Zhanqiang
• Research on Design of Network Teaching System / Wenpeng Lu, Ruojuan Xue and Haixia Li
• A Semantic Framework for Integration of Prison Internet / Peiliang Sun, Wei Wei and Ming Xia.

• Architecture of the Cloud Computing Platform for Enterprises / Shi Xingjun and Xuezhen Zhu
• The Application of SSL Protocol in Computer Network Communication / Tian Huan
• Research on Wireless Network Security Model / Linmao and Wangyong
• Application of Network Platform in EFL Writing Feedback / Kang Hui and Shi Ziming
• The Bayesian Network and Trust Model Based Movie Recommendation System / Du Wei and Chen Junliang
• The Network Security Management System Based on the Fuzzy Dynamic Evaluation / Deng Fan, Pei Tao and Ji Hongcheng
• The Research and Design of IMS Network Management / Xia Ling
• Requirements of the Times -- The Collaboration of E-Government and E-Commerce / Xiao Shufeng
• Study on the Development Path of China Modern Coal Logistics Based on Electronic Commerce / Jiang Lingli and Cen Kuang
• Research on Flash Based Online Game / Liu Jinjun
• Applicability Analysis and Classification in Network System Security / Luo Zhuojun
• Design of Multimedia File Security Communication Platform Architecture Based on Web / Liu Yanshu, Yi Can and Li Zhiyong
• Research on the Security Issues of Cloud Computing / Jia Weihua and Sun Shibing.

• Alarm Analysis on Intrusion Detection of Network Flow / Liu Yanshu, Cao Yujun and Lei Jiping
• The Exploitation and Design of Enrollment and Employment Management System That Based on B/S / Li Bo
• Research on Network Technology-Based Data Integration Model / Chen Min, Wang Jianping and Tan Shaosheng
• Sentiment Analysis in Chinese BBS / Dai Lu and Ding Lixin
• A Modified Transport Protocol for Heterogeneous Wireless Sensor Networks / Wu Yangbo, Zou Donglan and Li ShuLiang
• Research on the Development and Application of Intelligent Network Teaching System / Li Fachun
• Study on the Computer Networks System Safety Detecting Technology / Hu Liming
• Algorithm Research of Network Course Design Based on Personal Learning / Li Fachun
• Observation on the Wireless Sensor Router Algorithm Based on Mobile Agent / Pei Fang and Zhang Jie
• Higher Vocational College Computer Culture Foundation Online Examination System Design / Yonghua Zhang, Lizhe Wang and Ji Li
• MVDR Method for the Whole Conformal Arrays / Lin Zou and Zishu He
• Research and Implementation of SOA-Based E-Commerce Platform / Hu Liang.

• Production Dynamic Scheduling Method Based on Improved Contract Net of Multi-agent / Ling Qin and Shulin Kan
• Research on Information Integrated Platform for Gear Enterprise Networked Manufacturing / Xiang-tao Chen and Xiang-yang He
• A New 3D Statistical Method for Mobile Channel Model / Yihuai Yang, Gengfa Fang, Eryk Dutkiewicz and Yangqing Li
• An Optimized Organizational Structure Model of Internet Security Management / Ran Lia and Shoulian Tang
• Study on the Business Model of Tourism Electronic Commerce in China / Jian Song
• Semantic-Based Wireless Video Surveillance System / Haijun Gu, Wei Liu and Xiaohui Zhao
• Ultra-Low Power CMOS Charge-Sensitive Preamplifier / Zhou Yunbo, Yu Zongguang and Yang Yu
• Reduction of Power Consumption in Wireless Sensor Networks for Railway Disaster Prevention and Safety Monitoring System / Tao Wu, Yusong Yan and Xi Chen
• The Integration Scheme of the Internet of Things and TD-SCDMA Network / Zhengyong Yu
• Study on Product Data Structure and Realization of Model Based on PLM / Xianghui Zhan, Xiaoda Li and Xiangyang Lui
• The Research of DNS Safe Analysis and Defense Technology / Shao Ming-zhu, Sun Bo and Xie Rui-yun.

• Study on the Dangerous Chemicals Transport Vehicles Monitoring System Based on RFID Technique / Wang Jianxin, Wang Tong, Ma Yunfei and Tan Jialei
• Implementation of Neural Network Backpropagation in CUDA / Jinfeng Liu and Lei Guo
• Research and Application of Serial Communication Modules Based on VB / Zhang Tao
• Design and Application of Export Model / Lei Xiong
• A Processing Pipeline for Virtual 3D Urban-Based Web3D Author Tools / Zhang Wei
• Categorization of Medical Documents Using Hybrid Competitive Neural Network with String Vector, a Novel Approach / Seyyed Mohammad Reza Farshchi and Mahdi Yaghoobi
• Study of Computer Room Network Monitoring Management System / Dianjun Xu
• The Application of Online Traffic System on the Wireless Internet / Zhiqiang Yao, Chiyuan Li, Ke Xu and Han Xia
• A New Trusted Monitoring Algorithm to IA Based Distributed System / Shao Liang and Wu Fang
• A Study of the Impact of Electronic Processing Time on Performance in Optical Burst Switching Networks / G.M. Li, Z.K. Sun and S.H. Geng
• Study on Stayed-Cable Health Monitoring / Z.K. Sun, G.M. Li and S.H. Geng
• Research on the Information Library for Component Testing / Ying Jiang, Lin Jin, Xiao-Dong Fu and Yu-Ping Liu.

2012 International Conference of Intelligence Computation and Evolutionary Computation (ICEC 2012) is held on July 7, 2012 in Wuhan, China. This conference is sponsored by Information Technology & Industrial Engineering Research Center. ICEC 2012 is a forum for presentation of new research results ofintelligentcomputation and evolutionary computation. Cross-fertilization of intelligent computation, evolutionary computation, evolvable hardware and newly emerging technologies is strongly encouraged. The forum aims to bring together researchers, developers, and users from around the world in both industry and academia for sharing state-of-art results, for exploring new areas of research and development, and to discuss emerging issues facing intelligent computation and evolutionary computation.