%{search_type} search results

• EvoNUM: Local Fitness Meta-Models with Nearest Neighbor Regression
• Validating the Grid Diversity Operator: an Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms
• Benchmarking Languages for Evolutionary Algorithms
• On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front
• Evolving Smoothing Kernels for Global Optimization
• EvoPAR: Implementing Parallel Differential Evolution on Spark
• ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithm
• Addressing High Dimensional Multi-Objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces
• Compilable Phenotypes: Accelerating the Evaluation of Individuals in Grammatical Evolution
• GPU Accelerated Molecular Docking Simulation with Genetic Algorithms
• EvoRISK: Challenging Anti-virus Through Evolutionary Malware Obfuscation
• EvoROBOT: Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems
• Multi-Agent Behavior-Based Policy Transfer
• On-line Evolution of Foraging Behaviour in a Population of Real Robots
• Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task
• EvoSTOC: Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments
• Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting
• Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation
• Genetic Programming Algorithms for Dynamic Environments
• A Memory-Based NSGA-II Algorithm for Dynamic Multi-Objective Optimization Problems
• Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems.

The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), 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), 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 robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

• Preface Acknowledgments Introduction Contrasting Representations for Maze Generation Dual Mazes Terrain Maps Cellular Automata Based Maps Decomposition, Tiling, and Assembly Bibliography Author's Biography.
• (source: Nielsen Book Data)

Automatic content generation is the production of content for games, web pages, or other purposes by procedural means. Search-based automatic content generation employs search-based algorithms to accomplish automatic content generation. This book presents a number of different techniques for search-based automatic content generation where the search algorithm is an evolutionary algorithm. The chapters treat puzzle design, the creation of small maps or mazes, the use of L-systems and a generalization of L-system to create terrain maps, the use of cellular automata to create maps, and, finally, the decomposition of the design problem for large, complex maps culminating in the creation of a map for a fantasy game module with designersupplied content and tactical features. The evolutionary algorithms used for the different types of content are generic and similar, with the exception of the novel sparse initialization technique are presented in Chapter 2. The points where the content generation systems vary are in the design of their fitness functions and in the way the space of objects being searched is represented. A large variety of different fitness functions are designed and explained, and similarly radically different representations are applied to the design of digital objects all of which are, essentially, maps for use in games.
(source: Nielsen Book Data)

• Section I: Analysis of Genetic Algorithms
• A Novel Online Test-Sheet Composition Approach Using Genetic Algorithm
• A Route System Based on Genetic Algorithm for Coarse-Grain Reconfigurable Architecture
• Building Trade System by Genetic Algorithm
• Implementation of Parallel Genetic Algorithm Based on CUDA
• Moitf GibbsGA: Sampling Transcription Factor Binding Sites Coupled with PSFM Optimization by GA
• Network Model and Optimization of Medical Waste Reverse Logistics by Improved Genetic Algorithm
• SGEGC: A Selfish Gene Theory Based Optimization Method by Exchanging Genetic Components
• Section II: Computational Intelligence in Engineer Design
• A Novel RM-Based Algorithm for Reversible Circuits
• A Novel Transformation-Based Algorithm for Reversible Logic Synthesis
• Estimation of Distribution Algorithms for the Machine-Part Cell Formation
• Global Exponential Stability of Delayed Neural Networks with Non-lipschitz Neuron Activations and Impulses
• Modeling and Verification of Zhang Neural Networks for Online Solution of Time-Varying Quadratic Minimization and Programming
• New Product Design Based Target Cost Control with BP Neural Network and Genetic Algorithm
• A Case Study in Chinese Automobile Industry
• Hard Real Time Task Oriented Power Saving Scheduling Algorithm Based on DVS
• Section III: Optimization and Learning
• A Globally Convergent Smoothing Method for Symmetric Conic Linear Programming
• A New Optimizaiton Algorithm for Function Optimization
• A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution
• Balanced Learning for Ensembles with Small Neural Networks
• Estimating Geostatistics Variogram Parameters Based on Hybrid Orthogonal Differential Evolution Algorithm
• Memetic Strategies for Global Trajectory Optimisation
• Effects of Similarity-Based Selection on WBMOIA: A Weight-Based Multiobjective Immune Algorithm
• Section IV: Representations and Operators
• A Novel Evolutionary Algorithm Based on Multi-parent Crossover and Space Transformation Search
• An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation
• Clonal and Cauchy-mutation Evolutionary Algorithm for Global Numerical Optimization
• Construction of Hoare Triples under Generalized Model with Semantically Valid Genetic Operations
• Evaluation of Cobalt-Rich Crust Resources Based on Fractal Characteristics of Seamount Terrain
• Hybridizing Evolutionary Negative Selection Algorithm and Local Search for Large-Scale Satisfiability Problems
• Novel Associative Memory Retrieving Strategies for Evolutionary Algorithms in Dynamic Environments
• Section V: Robust Classification
• An Algorithm of Mining Class Association Rules
• An Empirical Study on Several Classification Algorithms and Their Improvements
• Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap
• Detecting Network Anomalies Using CUSUM and EM Clustering
• Multiobjective Optimization in Mineral Resources Exploitation: Models and Case Studies
• Robust and Efficient Eye Location and Its State Detection
• Section VI: Statistical Learning
• A Neural Network Architecture for Perceptual Grouping, Attention Modulation and Boundary-Surface Interaction
• Adaptive Neighborhood Select Based on Local Linearity for Nonlinear Dimensionality Reduction
• Anti-spam Filters Based on Support Vector Machines
• Multi-attribute Weight Allocation Based on Fuzzy Clustering Analysis and Rough Sets
• Spatio-temporal Model Based on Back Propagation Neural Network for Regional Data in GIS
• Subject Integration and Applications of Neural Networks
• The Convergence Control to the ACO Metaheuristic Using Annotated Paraconsistent Logic
• The Research of Artificial Neural Network on Negative Correlation Learning
• Section VII: Swarm Intelligence
• A Discrete PSO for Multi-objective Optimization in VLSI Floorplanning
• Applying Chaotic Particle Swarm Optimization to the Template Matching Problem
• Cellular PSO: A PSO for Dynamic Environments
• Constrained Layout Optimization Based on Adaptive Particle Swarm Optimizer
• Multi-swarm Particle Swarm Optimizer with Cauchy Mutation for Dynamic Optimization Problems
• Optimization of the Damping of the Rectangular 3-D Braided Composite Based on PSO Algorithm
• Parallel Hybrid Particle Swarm Optimization and Applications in Geotechnical Engineering
• Storage-Based Intrusion Detection Using Artificial Immune Technique
• Section VIII: System Design
• A New Method for Optimal Configuration of Weapon System
• A Secure Routing Algorithm for MANET
• Detection and Defense of Identity Attacks in P2P Network
• License Plate Multi-DSP and Multi-FPGA Design and Realization in Highway Toll System
• QoS Routing Algorithm for Wireless Multimedia Sensor Networks
• Realization of Fingerprint Identification on DSP
• Localization Algorithm of Beacon-Free Node in WSN Based on Probability
• The Method of Knowledge Processing in Intelligent Design System of Products.

Annotation---Volumes CCIS 51 and LNCS 5812 constitute the proceedings of the Fourth Interational Symposium on Intelligence Computation and Applications, ISICA 2009, held in Huangshi, China, during October 23-25. ISICA 2009 attracted over 300 submissions. Through rigorous reviews, 58 papers were included in LNCS 5821, and 54 papers were collected in CCIS 51. ISICA conferences are one of the first series of international conferences on computational intelligence that combine elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to artificial intelligence.

• Part 1 - Setting the Stage
• Chapter 1 - Intelligent Machines: Imitating Life
• Chapter 2 - Deep Blue: A Triumph of AI?
• Chapter 3 - Building An Artificial Brain
• Chapter 4 - Evolutionary Computation: Putting Nature to Work
• Chapter 5 - Blue Hawaii: Natural Selection
• Chapter 6 - Checkers
• Chapter 7 - Chinook: The Man-machine Checkers Champion
• Chapter 8 - Samuel's Learning Machine
• Chapter 9 - The Samuel-Newell Challenge
• Part 2 - The Making of Blondie
• Chapter 10 - Evolving in the Checkers Environment
• Chapter 11 - In The Zone
• Chapter 12 - A Repeat Performance
• Chapter 13 - A New Dimension
• Chapter 14 - Letting the Genie Out of the Bottle
• Chapter 15 - Blondie24 Epilogue: The Future of Artificial Intelligence Appendix: Your Honor, I Object! Notes Index About the Author.
• (source: Nielsen Book Data)

Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain, " Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future.
(source: Nielsen Book Data)

• From Feature Selection to Continuous Optimization.- Evolving a Weighted Combination of Text Similarities for Authorship Attribution.- Image Signal Processor Parameter Tuning with Surrogate-assisted Particle Swarm Optimization.- Combinatorial Surrogate-assisted Optimization for Bus Stops Spacing Problem.- Optimization of a Checkers Player Using Neural and Metaheuristic Approaches.- A Novel Outlook on Feature Selection as a Multi-Objective Problem.- Fast Evolutionary Algorithm for Solving Large-scale Multi-objective Problems.- Looking for Energy Efficient Genetic Algorithms.- Evolving Fitness Landscapes with Complementary Fitness Functions.- Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments.- Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions.- Selective Vehicle Routing Problem: A Hybrid Genetic Algorithm Approach.- Fixed Jobs Multi-agent Scheduling Problem with Renewable Resources.- A Study of Recombination Operators for the Cyclic Bandwidth Problem.- Automatic Calibration of a Farm Irrigation Model: a Multi-modal Optimization Approach.- A Hybrid Evolutionary Algorithm for Offl ine UAV Path Planning.
• (source: Nielsen Book Data)

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019. The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.
(source: Nielsen Book Data)

• Towards an Assistive Social Robot Interacting with Human Patient to Establish a Mutual and Effective Support.- Selecting for Positive Responses to Knock outs in Boolean Networks.- Avalanches of Perturbations in Modular Gene Regulatory Networks.- The Effects of a Simplified Model of Chromatin Dynamics on Attractors Robustness in Random Boolean Networks with Self-loops: an Experimental Study.- A Memetic Approach for the Orienteering Problem.- The Detection of Dynamical Organization in Cancer Evolution Models.- The Simulation of Noise Impact on the Dynamics of a Discrete Chaotic Map.- Exploiting Distributed Discrete-Event Simulation Techniques for Parallel Execution of Cellular Automata.- A Relevance Index-based Method for Improved Detection of Malicious Users in Social Networks.- An Analysis of Cooperative Coevolutionary Differential Evolution as Neural Networks Optimizer.- Design and Evaluation of a Heuristic Optimization Tool Based on Evolutionary Grammars Using PSoCs.- How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: a Preliminary Study.- Modeling the Coordination of a Multiple Robots Using Nature Inspired Approaches.- Nestedness Temperature in the Agent-Artifact Space: Emergence of Hierarchical Order in the 2000-2014 Photonics Techno-Economic Complex System.- Towards Programmable Chemistries.- Studying and Simulating the Three-dimensional Arrangement of Droplets.- Investigating Three-dimensional Arrangements of Droplets.
• (source: Nielsen Book Data)

This book constitutes the revised selected papers of the 14th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2019, held in Rende, Italy, in September 2019. The 13 full papers and 4 short paper presented were thoroughly reviewed and selected from 31 submissions. They are focused on the topics of information systems, design and analysis of algorithms, artificial intelligence, machine learning, cognitive science, modeling and simulation, collaborative and social computing, parallel computing, distributed computing. The chapter "Nestedness Temperature in the Agent-Artifact Space: Emergence of Hierarchical Order in the 2000-2014 Photonics Techno-Economic Complex System" is available open access under a CC BY 4.0 license.
(source: Nielsen Book Data)

• Introduction to Evolutionary Data Clustering and its Applications.- A Comprehensive Review of Evaluation and Fitness Measures for Evolutionary Data Clustering.- A Grey Wolf based Clustering Algorithm for Medical Diagnosis Problems.- EEG-based Person Identification Using Multi-Verse Optimizer As Unsupervised Clustering Techniques.- Review of Evolutionary Data Clustering Algorithms for Image Segmentation.- Classification Approach based on Evolutionary Clustering and its Application for Ransomware Detection.
• (source: Nielsen Book Data)

This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
(source: Nielsen Book Data)

• 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.

• Nature Inspired Constrained Optimization.- Recent Advances on Evolutionary Optimization Technologies.- Wearable Computing and Intelligent Data Hiding.- Image Processing and Intelligent Applications.- Intelligent Multimedia Tools and Applications.- Technologies for Next-Generation Network Environments.
• (source: Nielsen Book Data)

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at ICGEC 2014, the 8th International Conference on Genetic and Evolutionary Computing. The conference this year was technically co-sponsored by Nanchang Institute of Technology in China, Kaohsiung University of Applied Science in Taiwan, and VSB-Technical University of Ostrava. ICGEC 2014 is held from 18-20 October 2014 in Nanchang, China. Nanchang is one of is the capital of Jiangxi Province in southeastern China, located in the north-central portion of the province. As it is bounded on the west by the Jiuling Mountains, and on the east by Poyang Lake, it is famous for its scenery, rich history and cultural sites. Because of its central location relative to the Yangtze and Pearl River Delta regions, it is a major railroad hub in Southern China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.
(source: Nielsen Book Data)

• A Computational Study of Neighborhood Operators for Job-shop Scheduling Problems with Regular Objectives.- A Genetic Algorithm for Multi-Component Optimization Problems: the Case of the Travelling Thief Problem.- A Hybrid Feature Selection Algorithm Based on Large Neighborhood Search.- A Memetic Algorithm to Maximise the Employee Substitutability in Personnel Shift Scheduling.- Construct, Merge, Solve and Adapt versus Large Neighborhood Search for Solving the Multi-Dimensional Knapsack Problem: Which One Works Better When.- Decomposing SAT Instances with Pseudo Backbones.- Efficient Consideration of Soft Time Windows in a Large Neighborhood Search for the Districting and Routing Problem for Security Control.- Estimation of Distribution Algorithms for the Firefighter Problem.- LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows.- Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO.- Optimizing Charging Station Locations for Electric Car-Sharing Systems.- Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier.- Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants.- The Weighted Independent Domination Problem: ILP Model and Algorithmic .
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoMUSART and EvoApplications. The 16 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers cover both empirical and theoretical studies on a wide range of academic and real-world applications. The methods include evolutionary and memetic algorithms, large neighborhood search, estimation of distribution algorithms, beam search, ant colony optimization, hyper-heuristics and matheuristics. Applications include both traditional domains, such as knapsack problem, vehicle routing, scheduling problems and SAT; and newer domains such as the traveling thief problem, location planning for car-sharing systems and spacecraft trajectory optimization. Papers also study important concepts such as pseudo-backbones, phase transitions in local optima networks, and the analysis of operators. This wide range of topics makes the EvoCOP proceedings an important source for current research trends in combinatorial optimization.
(source: Nielsen Book Data)

• A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery
• A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations
• An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem
• Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem
• Deconstructing the Big Valley Search Space Hypothesis
• Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks
• Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization
• Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems
• Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance
• Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems
• Hyperplane Elimination for Quickly Enumerating Local Optima
• Limits to Learning in Reinforcement Learning Hyperheuristics
• Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs
• Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition
• Particle Swarm Optimization for Multi-Objective Web Service Location Allocation
• Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity
• Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization.

This book constitutes the refereed proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 17 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic algorithms, variable neighborhood search, particle swarm optimization, hyperheuristics, mat-heuristic and other adaptive approaches. Applications included both traditional domains, such as graph coloring, vehicle routing, the longest common subsequence problem, the quadratic assignment problem; and new(er) domains such as the traveling thief problem, web service location, and finding short addition chains. The theoretical studies involved fitness landscape analysis, local search and recombination operator analysis, and the big valley search space hypothesis. The consideration of multiple objectives, dynamic and noisy environments was also present in a number of articles.

• Evolutionary computation
• Bioinspired algorithms
• Genetic algorithms, bioinformatics and computational biology
• Modeling and simulation of artificial and biological systems
• Complex systems, synthetic and systems biology
• Systems chemistry.

This book constitutes the revised selected papers of the 10th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2015, held at Bari, Italy, in September 2015. The 18 papers presented have been thoroughly reviewed and selected from 45 submissions. They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modeling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.

• Part 1: Fascinating Evolution
• Part 2: Evolutionary Computation
• Part 3: If Darwin was a Programmer
• Part 4: Evolution of Developmental Programs.
• (source: Nielsen Book Data)

An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary computation, the book also explores the application of evolution to developmental processes in nature, such as the growth processes in cells and plants. If you are a newcomer to the evolutionary computation field, an engineer, a programmer, or even a biologist wanting to learn how to model the evolution and coevolution of plants, this book will provide you with a visually rich and engaging account of this complex subject.
(source: Nielsen Book Data)

• AI Techniques and applications.- Data Analytics and Technologies.- Data Mining and Image Processing.- Machine & Statistical Learning. .
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 6th International Conference on Soft Computing in Data Science, SCDS 2021, which was held virtually in November 2021. The 31 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on AI techniques and applications; data analytics and technologies; data mining and image processing; machine & statistical learning. .
(source: Nielsen Book Data)

• Chapter 1: An Enhanced Model for Digital Reference Services (MDRS).-
• Chapter 2: Fuzzy Random Based Mean Variance Model For Agricultural Production Planning.-
• Chapter 3: Residual Neural Network vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition.-
• Chapter 4: Incorporating the Markov Chain Model in WBSN for Improving Patients' Remote Monitoring Systems.-
• Chapter 5: Designing Deep Neural Network with Chicken Swarm Optimization for Violence Video Classification using VSD2014 Dataset.-
• Chapter 6: Header Based Email Spam Detection Framework Using Support Vector Machine (SVM) Technique.-
• Chapter 7: A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Case Study of Medical Surgery Departments.-
• Chapter 8: Link Bandwidth Recommendation for Indonesian E-Health Grid.-
• Chapter 9: Investigating the Optimal Parameterization of Deep Neural Network and Synthetic Data Workflow for Imbalance Liver Disorder Dataset Classification.-
• Chapter 10: Genetic Algorithm Based Parallel K-Means Data Clustering Algorithm Using MapReduce Programming Paradigm on Hadoop Environment (GAPKCA).-
• Chapter 11: Android Botnet Detection by Classification Techniques.
• (source: Nielsen Book Data)

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.
(source: Nielsen Book Data)

• Automated Algorithm Selection and Configuration
• Bayesian- and Surrogate-Assisted Optimization
• Benchmarking and Performance Measures
• Combinatorial Optimization
• Connection Between Nature-Inspired Optimization and Artificial Intelligence
• Genetic and Evolutionary Algorithms.

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

• EvoCOMNET Contributions.- Detection of DDoS Attacks via an Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm.- Performance Evaluation of an Artificial Neural Network-Based Adaptive Antenna Array System.- Automatic Parameter Tuning with Metaheuristics of the AODV Routing Protocol for Vehicular Ad-Hoc Networks.- WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm.- Markov Chain Models for Genetic Algorithm Based Topology Control in MANETs.- Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks.- Efficient Load Balancing for a Resilient Packet Ring Using Artificial Bee Colony.- TCP Modification Robust to Packet Reordering in Ant Routing Networks.- Solving the Physical Impairment Aware Routing and Wavelength Assignment Problem in Optical WDM Networks Using a Tabu Search Based Hyper-Heuristic Approach.- A Generalized, Location-Based Model of Connections in Ad-Hoc Networks Improving the Performance of Ant Routing.- Using Code Bloat to Obfuscate Evolved Network Traffic.- ABC Supported Handoff Decision Scheme Based on Population Migration.- EvoENVIRONMENT Contributions.- A Hyper-Heuristic Approach for the Unit Commitment Problem.- Application of Genetic Programming Classification in an Industrial Process Resulting in Greenhouse Gas Emission Reductions.- Influence of Topology and Payload on CO2 Optimised Vehicle Routing.- Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms.- EvoFIN Contributions.- A Study of Nature-Inspired Methods for Financial Trend Reversal Detection.- Outperforming Buy-and-Hold with Evolved Technical Trading Rules: Daily, Weekly and Monthly Trading.- Evolutionary Multi-stage Financial Scenario Tree Generation.- Evolving Dynamic Trade Execution Strategies Using Grammatical Evolution.- Modesty Is the Best Policy: Automatic Discovery of Viable Forecasting Goals in Financial Data.- Threshold Recurrent Reinforcement Learning Model for Automated Trading.- Active Portfolio Management from a Fuzzy Multi-objective Programming Perspective.- Evolutionary Monte Carlo Based Techniques for First Passage Time Problems in Credit Risk and Other Applications in Finance.- Calibrating the Heston Model with Differential Evolution.- Evolving Trading Rule-Based Policies.- EvoMUSART Contributions.- Evolving Artistic Styles through Visual Dialogues.- Graph-Based Evolution of Visual Languages.- Refinement Techniques for Animated Evolutionary Photomosaics Using Limited Tile Collections.- Generative Art and Evolutionary Refinement.- Aesthetic Learning in an Interactive Evolutionary Art System.- Comparing Aesthetic Measures for Evolutionary Art.- The Problem with Evolutionary Art Is ...- Learning to Dance through Interactive Evolution.- Jive: A Generative, Interactive, Virtual, Evolutionary Music System.- A Neural Network for Bass Functional Harmonization.- Combining Musical Constraints with Markov Transition Probabilities to Improve the Generation of Creative Musical Structures.- Dynamic Musical Orchestration Using Genetic Algorithms and a Spectro-Temporal Description of Musical Instruments.- Evolutionary Sound Synthesis: Rendering Spectrograms from Cellular Automata Histograms.- Sound Agents.- From Evolutionary Composition to Robotic Sonification.- Musical Composer Identification through Probabilistic and Feedforward Neural Networks.- EvoTRANSLOG Contributions.- Using an Evolutionary Algorithm to Discover Low CO2 Tours within a Travelling Salesman Problem.- A Genetic Algorithm for the Traveling Salesman Problem with Pickup and Delivery Using Depot Removal and Insertion Moves.- Fast Approximation Heuristics for Multi-Objective Vehicle Routing Problems.- Particle Swarm Optimization and an Agent-Based Algorithm for a Problem of Staff Scheduling.- A Math-Heuristic for the Multi-Level Capacitated Lot Sizing Problem with Carryover.
• (source: Nielsen Book Data)

Evolutionary computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving, optimization, machinelearningand pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications - formerly known as EvoWorkshops - has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared, whileothershavematuredtobecomeconferencesoftheirown, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.
(source: Nielsen Book Data)

• Genetic Programming.- Landscape Analysis.- Multiobjective Optimization.- Real-World Applications.- Reinforcement Learning.- Theoretical Aspects of Nature-Inspired Optimization.
• .
• (source: Nielsen Book Data)

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.
(source: Nielsen Book Data)

• Digital Hardware Evolution.- An Online EHW Pattern Recognition System Applied to Sonar Spectrum Classification.- Design of Electronic Circuits Using a Divide-and-Conquer Approach.- Implementing Multi-VRC Cores to Evolve Combinational Logic Circuits in Parallel.- An Intrinsic Evolvable Hardware Based on Multiplexer Module Array.- Estimating Array Connectivity and Applying Multi-output Node Structure in Evolutionary Design of Digital Circuits.- Research on the Online Evaluation Approach for the Digital Evolvable Hardware.- Research on Multi-objective On-Line Evolution Technology of Digital Circuit Based on FPGA Model.- Evolutionary Design of Generic Combinational Multipliers Using Development.- Analog Hardware Evolution.- Automatic Synthesis of Practical Passive Filters Using Clonal Selection Principle-Based Gene Expression Programming.- Research on Fault-Tolerance of Analog Circuits Based on Evolvable Hardware.- Analog Circuit Evolution Based on FPTA-2.- Bio-inspired Systems.- Knowledge Network Management System with Medicine Self Repairing Strategy.- Design of a Cell in Embryonic Systems with Improved Efficiency and Fault-Tolerance.- Design on Operator-Based Reconfigurable Hardware Architecture and Cell Circuit.- Bio-inspired Systems with Self-developing Mechanisms.- Development of a Tiny Computer-Assisted Wireless EEG Biofeedback System.- Steps Forward to Evolve Bio-inspired Embryonic Cell-Based Electronic Systems.- Evolution of Polymorphic Self-checking Circuits.- Mechanical Hardware Evolution.- Sliding Algorithm for Reconfigurable Arrays of Processors.- System-Level Modeling and Multi-objective Evolutionary Design of Pipelined FFT Processors for Wireless OFDM Receivers.- Reducing the Area on a Chip Using a Bank of Evolved Filters.- Evolutionary Design.- Walsh Function Systems: The Bisectional Evolutional Generation Pattern.- Extrinsic Evolvable Hardware on the RISA Architecture.- Evolving and Analysing "Useful" Redundant Logic.- Adaptive Transmission Technique in Underwater Acoustic Wireless Communication.- Autonomous Robot Path Planning Based on Swarm Intelligence and Stream Functions.- Research on Adaptive System of the BTT-45 Air-to-Air Missile Based on Multilevel Hierarchical Intelligent Controller.- The Design of an Evolvable On-Board Computer.- Evolutionary Algorithms in Hardware Design.- Extending Artificial Development: Exploiting Environmental Information for the Achievement of Phenotypic Plasticity.- UDT-Based Multi-objective Evolutionary Design of Passive Power Filters of a Hybrid Power Filter System.- Designing Electronic Circuits by Means of Gene Expression Programming II.- Designing Polymorphic Circuits with Evolutionary Algorithm Based on Weighted Sum Method.- Robust and Efficient Multi-objective Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search Algorithm.- Minimization of the Redundant Sensor Nodes in Dense Wireless Sensor Networks.- Evolving in Extended Hamming Distance Space: Hierarchical Mutation Strategy and Local Learning Principle for EHW.- Hardware Implementation of Evolutionary Algorithms.- Adaptive and Evolvable Analog Electronics for Space Applications.- Improving Flexibility in On-Line Evolvable Systems by Reconfigurable Computing.- Evolutionary Design of Resilient Substitution Boxes: From Coding to Hardware Implementation.- A Sophisticated Architecture for Evolutionary Multiobjective Optimization Utilizing High Performance DSP.- FPGA-Based Genetic Algorithm Kernel Design.- Using Systolic Technique to Accelerate an EHW Engine for Lossless Image Compression.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 7th International Conference on Evolvable Systems, ICES 2007, held in Wuhan, China, in September 2007. The 41 revised full papers collected in this volume are organized in topical sections on digital hardware evolution, analog hardware evolution, bio-inspired systems, mechanical hardware evolution, evolutionary design, evolutionary algorithms in hardware design, and hardware implementation of evolutionary algorithms.
(source: Nielsen Book Data)

• EvoCOMPLEX Contributions.- Coevolutionary Dynamics of Interacting Species.- Evolving Individual Behavior in a Multi-agent Traffic Simulator.- On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions.- Revising the Trade-off between the Number of Agents and Agent Intelligence.- Sexual Recombination in Self-Organizing Interaction Networks.- Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review.- EvoGAMES Contributions.- Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game.- Fuzzy Nash-Pareto Equilibrium: Concepts and Evolutionary Detection.- An Evolutionary Approach for Solving the Rubik's Cube Incorporating Exact Methods.- Evolution of Artificial Terrains for Video Games Based on Accessibility.- Evolving Behaviour Trees for the Commercial Game DEFCON.- Evolving 3D Buildings for the Prototype Video Game Subversion.- Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms.- Towards a Generic Framework for Automated Video Game Level Creation.- Search-Based Procedural Content Generation.- Evolution of Grim Trigger in Prisoner Dilemma Game with Partial Imitation.- Evolving a Ms. PacMan Controller Using Grammatical Evolution.- Evolving Bot AI in UnrealTM.- Evolutionary Algorithm for Generation of Entertaining Shinro Logic Puzzles.- Social Learning Algorithms Reaching Nash Equilibrium in Symmetric Cournot Games.- Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search.- EvoIASP Contributions.- A CNN Based Algorithm for the Automated Segmentation of Multiple Sclerosis Lesions.- A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination.- Towards Automated Learning of Object Detectors.- Markerless Multi-view Articulated Pose Estimation Using Adaptive Hierarchical Particle Swarm Optimisation.- Hand Posture Recognition Using Real-Time Artificial Evolution.- Comparing Cellular and Panmictic Genetic Algorithms for Real-Time Object Detection.- Bloat Free Genetic Programming versus Classification Trees for Identification of Burned Areas in Satellite Imagery.- Genetic Algorithms for Training Data and Polynomial Optimization in Colorimetric Characterization of Scanners.- New Genetic Operators in the Fly Algorithm: Application to Medical PET Image Reconstruction.- Chaotic Hybrid Algorithm and Its Application in Circle Detection.- Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis.- An Evolutionary Method for Model-Based Automatic Segmentation of Lower Abdomen CT Images for Radiotherapy Planning.- Evolution of Communicating Individuals.- Dynamic Data Clustering Using Stochastic Approximation Driven Multi-Dimensional Particle Swarm Optimization.- Automatic Synthesis of Associative Memories through Genetic Programming: A First Co-evolutionary Approach.- EvoINTELLIGENCE Contributions.- A Comparative Study between Genetic Algorithm and Genetic Programming Based Gait Generation Methods for Quadruped Robots.- Markerless Localization for Blind Users Using Computer Vision and Particle Swarm Optimization.- Particle Swarm Optimization for Feature Selection in Speaker Verification.- Scale- and Rotation-Robust Genetic Programming-Based Corner Detectors.- Self-organized and Evolvable Cognitive Architecture for Intelligent Agents and Multi-Agent Systems.- EvoNUM Contributions.- Investigating the Local-Meta-Model CMA-ES for Large Population Sizes.- Exploiting Evolution for an Adaptive Drift-Robust Classifier in Chemical Sensing.- Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions.- Gaussian Adaptation Revisited - An Entropic View on Covariance Matrix Adaptation.- Parallel Genetic Algorithm on the CUDA Architecture.- A New Selection Ratio for Large Population Sizes.- Multi-Objective Probability Collectives.- Parallel Random Injection Differential Evolution.- Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization.- A Directed Mutation Operator for Real Coded Genetic Algorithms.- Speedups between x70 and x120 for a Generic Local Search (Memetic) Algorithm on a Single GPGPU Chip.- Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms.- Estimation Distribution Differential Evolution.- Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning.- Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist.- EvoSTOC Contributions.- Memory Design for Constrained Dynamic Optimization Problems.- Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.- Measuring Fitness Degradation in Dynamic Optimization Problems.- Handling Undefined Vectors in Expensive Optimization Problems.- Adaptive Noisy Optimization.- Noise Analysis Compact Genetic Algorithm.
• (source: Nielsen Book Data)

Evolutionary Computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving, optimization, machinelearningand pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications - formerly known as EvoWorkshops- has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared, whileothershavematuredtobecomeconferencesoftheirown, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.
(source: Nielsen Book Data)