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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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• Agents and Complex Systems.- Data Mining and Its Applications.- Evolutionary Algorithms and Optimization.- Intelligent Systems and their Applications.- Nature Inspired Creative Computing.- Smart Workspace and Image Processing.
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This PALO volume constitutes the Proceedings of the 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2015), held in Bangkok, Thailand, November 22-25, 2015. The IES series of conference is an annual event that was initiated back in 1997 in Canberra, Australia. IES aims to bring together researchers from countries of the Asian Pacific Rim, in the fields of intelligent systems and evolutionary computation, to exchange ideas, present recent results and discuss possible collaborations. Researchers beyond Asian Pacific Rim countries are also welcome and encouraged to participate. The theme for IES 2015 is "Transforming Big Data into Knowledge and Technological Breakthroughs". The host organization for IES 2015 is the School of Information Technology (SIT), King Mongkut's University of Technology Thonburi (KMUTT), and it is technically sponsored by the International Neural Network Society (INNS). IES 2015 is collocated with three other conferences; namely, The 6th International Conference on Computational Systems-Biology and Bioinformatics 2015 (CSBio 2015), The 7th International Conference on Advances in Information Technology 2015 (IAIT 2015) and The 10th International Conference on e-Business 2015 (iNCEB 2015), as a major part of series of events to celebrate the SIT 20th anniversary and the KMUTT 55th anniversary.
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The Symposiums aim to bring together researchers and practitioners from countries of the Asia Pacific Region in the fields of intelligent systems and evolutionary computation IES 2017 welcomes fundamental science, methodology, method, and practical application papers in the IES Symposiums traditional range of topics, which includes but is not limited to Artificial Intelligence Artificial Life and Societies Machine Learning Neural Networks Data Science and Decision Analytics Evolutionary and Nature Inspired computation Game Theory Human Brain Computer Interaction Agents and Complex Systems Cognitive and Developmental Systems Robotics Systems Intelligent Transport Systems.

• Ensemble Learning to Generate Virtual Data for Pattern Recognition and Its Possibility of Application to Strategy Inference in Table Tennis.- The rise of smart contract and its complex impacts on the digital ecosystem.- Automatic Collision Avoidance Using Deep Reinforcement Learning with Grid Sensor.- Two way allocation methods in SAVS for large depopulated area.- Proposal of mathematical model of prediction of human movement using position information.- Public transport smart card data analysis using tucker decomposition.- Estimating impressions for clothing, landscape, and indoor images using CNN.- Block-Based Neural Network High Speed Optimization.- An Improved Auto-encoder Based on 2-level Prioritized Experience Replay for High Dimension Skewed Data.- Multi-Task Learning Using Online Fine-Tuning Considering the Importance of Each Filter.- Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System.- A Study of Upper Tropospheric Circulations over the Northern Hemisphere Prediction Using Multivariate Features by ConvLSTM.- Learning localization skills of soccer robot using by simulated omni-vision camera.- Examination of analysis method of opinion distribution in News media transferred on Web.- Opinion distribution analysis of video media related to social life.- Quantitative consideration of spatio-temporal information on education and culture in Japan using telephone directory archive data.
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This book presents selected papers from the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2019), which was held in Tottori, Japan, on December 6-8, 2019. Today, various types of intelligent system can be found everywhere. However, none of them can be developed or understood from only one perspective. As such, this book collects unique ways of thinking about intelligent systems. It discusses evolutionary and complex adaptive systems, which have been useful approaches for tackling intelligent systems. It also examines the recent developments in the field of artificial intelligence that are driving research on intelligent systems. Addressing topics related to intelligent transport systems, machine learning and neural networks, data science and decision analytics, evolutionary and nature-inspired computation, and agents and complex systems, this book is a valuable resource for researchers and practitioners wanting to develop or understand intelligent and evolutionary systems. .
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• Heuristics I.- Alternative Solution Representations for the Job Shop Scheduling Problem in Ant Colony Optimisation.- Analyzing the Role of "Smart" Start Points in Coarse Search-Greedy Search.- Concealed Contributors to Result Quality - The Search Process of Ant Colony System.- Ants Guide Future Pilots.- Complex Systems I.- Information Transfer by Particles in Cellular Automata.- An Artificial Development Model for Cell Pattern Generation.- Rounds Effect in Evolutionary Games.- Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction.- An Evolutionary Benefit from Misperception in Foraging Behaviour.- Simulated Evolution of Discourse with Coupled Recurrent Networks.- How Different Hierarchical Relationships Impact Evolution.- A Dual Phase Evolution Model of Adaptive Radiation in Landscapes.- Biological Systems I.- Directed Evolution of an Artificial Cell Lineage.- An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity.- Complement-Based Self-Replicated, Self-Assembled Systems (CBSRSAS).- Self-maintained Movements of Droplets with Convection Flow.- Structural Circuits and Attractors in Kauffman Networks.- The Effects of Learning on the Roles of Chance, History and Adaptation in Evolving Neural Networks.- Unsupervised Acoustic Classification of Bird Species Using Hierarchical Self-organizing Maps.- The Prisoner's Dilemma with Image Scoring on Networks: How Does a Player's Strategy Depend on Its Place in the Social Network?.- Heuristics II.- Population-Based Ant Colony Optimisation for Multi-objective Function Optimisation.- Mechanisms for Evolutionary Reincarnation.- An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization.- Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering.- Complex Systems II.- A Framework for the Co-evolution of Genes, Proteins and a Genetic Code Within an Artificial Chemistry Reaction Set.- In-Formation Flocking: An Approach to Data Visualization Using Multi-agent Formation Behavior.- A Principled Approach to Swarm-Based Wall-Building.- Pattern Extraction Improves Automata-Based Syntax Analysis in Songbirds.- Heuristics III.- A Modified Strategy for the Constriction Factor in Particle Swarm Optimization.- A Differential Evolution Variant of NSGA II for Real World Multiobjective Optimization.- Investigating a Hybrid Metaheuristic for Job Shop Rescheduling.- Enhancements to Extremal Optimisation for Generalised Assignment.- Biological Systems II.- Identification of Marker Genes Discriminating the Pathological Stages in Ovarian Carcinoma by Using Support Vector Machine and Systems Biology.- Ancestral DNA Sequence Reconstruction Using Recursive Genetic Algorithms.
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This book constitutes the refereed proceedings of the Third Australian Conference on Artificial Life, ACAL 2007, held in Gold Coast, Australia, in December 2007. The 34 revised full papers presented were carefully reviewed and selected from 70 submissions. Research in Alife covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems.
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• Evolutionary and DNA computing
• Intelligent and complex systems
• Ant colony optimization
• Simulation and modeling : applications in medical sciences.

This book contains selected papers presented at the International Conference "Bio-Inspired Computational Methods Used for Difficult Problems Solving. Development of Intelligent and Complex Systems" - BICS 2008, organized by the Romanian Academy, Bucharest and Petru Major University of Tg. Mures, held on 5-7 November 2008 at Petry Major University of Tg. Mures, Romania. The aim of this conference was to bring together researchers working in the main areas of Complex Systems, Artificial Intelligence, Intelligent Systems and Natural Computing for presenting their recent results and exchanging ideas. The papers included in the book provide an introduction and also a state of the art to the bio-inspired computer science. The areas covered were those of natural computing, such as evolutionary and neural computing, as well as younger research directions, such as DNA computing, ant colony optimization, with connections and applications to intelligent complex systems and to medical informatics. Thus, both directions of research, from biology to informatics and from informatics to biology are illustrated.
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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.

• Ant Colony Optimization
• An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem / Michalis Mavrovouniotis, Shengxiang Yang
• Multi-Objective Optimization
• A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization / Alan Díaz-Manríquez, Gregorio Toscano-Pulido, Ricardo Landa-Becerra
• The Relationship between the Covered Fraction, Completeness and Hypervolume Indicators / Viviane Grunert da Fonseca, Carlos M. Fonseca
• Analysis
• A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize / Marc Schoenauer, Fabien Teytaud, Olivier Teytaud
• Local Optima Networks with Escape Edges / Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini
• Visual Analysis of Population Scatterplots / Evelyne Lutton, Julie Foucquier, Nathalie Perrot, Jean Louchet, Jean-Daniel Fekete.

• Implementation and Robotics
• An On-Line On-Board Distributed Algorithm for Evolutionary Robotics / Robert-Jan Huijsman, Evert Haasdijk, A.E. Eiben
• Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm / Doğan Aydın, Tianjun Liao, Marco A. Montes de Oca, Thomas Stützle
• Two Ports of a Full Evolutionary Algorithm onto GPGPU / Ogier Maitre, Nicolas Lachiche, Pierre Collet
• Combinatorial Optimization
• A Multilevel Tabu Search with Backtracking for Exploring Weak Schur Numbers / Denis Robilliard, Cyril Fonlupt, Virginie Marion-Poty, Amine Boumaza
• An Improved Memetic Algorithm for the Antibandwidth Problem / Eduardo Rodriguez-Tello, Luis Carlos Betancourt
• Learning and Parameter Tuning
• Adaptive Play in a Pollution Bargaining Game / Vincent van der Goes
• Learn-and-Optimize: A Parameter Tuning Framework for Evolutionary AI Planning / Mátyás Brendel, Marc Schoenauer
• New Nature Inspired Models.

• A Model Based on Biological Invasions for Island Evolutionary Algorithms / Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri
• A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme / Jorge Sebastian Hernández-Domínguez, Gregorio Toscano-Pulido, Carlos A. Coello Coello
• Probabilistic Algorithms
• Evolution of Multisensory Integration in Large Neural Fields / Benjamin Inden, Yaochu Jin, Robert Haschke, Helge Ritter
• Reducing the Learning Time of Tetris in Evolution Strategies / Amine Boumaza
• Theory and Evolutionary Search
• Black-Box Complexity: Breaking the O(n logn) Barrier of LeadingOnes / Benjamin Doerr, Carola Winzen
• Applications
• Imperialist Competitive Algorithm for Dynamic Optimization of Economic Dispatch in Power Systems / Robin Roche, Lhassane Idoumghar, Benjamin Blunier, Abdellatif Miraoui.

This book constitutes selected best papers from the 10th International Conference on Artificial Evolution, EA 2011, held in Angers, France, in October 2011. Initially, 33 full papers and 10 post papers were carefully reviewed and selected from 64 submissions. This book presents the 19 best papers selected from these contributions. The papers are organized in topical sections on ant colony optimization; multi-objective optimization; analysis; implementation and robotics; combinatorial optimization; learning and parameter tuning; new nature inspired models; probabilistic algorithms; theory and evolutionary search; and applications.

• Theory
• Ant colony optimization
• Applications
• Combinatorial and discrete optimization
• Memetic algorithms
• Genetic programming
• Interactive evolution
• Parallel evolutionary algorithms.- Swarm intelligence.

This book constitutes the refereed proceedings of the 11th International Conference on Artificial Evolution, EA 2013, held in Bordeaux, France, in October 2013. The 20 revised papers were carefully reviewed and selected from 39 submissions. The papers are focused to theory, ant colony optimization, applications, combinatorial and discrete optimization, memetic algorithms, genetic programming, interactive evolution, parallel evolutionary algorithms, and swarm intelligence.

• Evolutionary Computation
• Evolutionary Optimization, Co-evolution,
• Artificial Life
• Population Dynamics
• Theory, Algorithmics and Modeling
• Implementations
• Application of Evolutionary Paradigms to the Real World.

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Artificial Evolution, EA 2015, held in Lyon, France, in October 2015. The 18 revised papers were carefully reviewed and selected from 31 submissions. The focus of the conference is on following topics: Evolutionary Computation, Evolutionary Optimization, Co-evolution, Artificial Life, Population Dynamics, Theory, Algorithmics and Modeling, Implementations, Application of Evolutionary Paradigms to the Real World, Dynamic Optimization, Machine Learning and hybridization with other soft computing techniques.