| Evolutionary Algorithms Theory | |
| Random Dynamics Optimum Tracking with Evolution Strategies | p. 3 |
| On the Behavior of Evolutionary Global-Local Hybrids with Dynamic Fitness Functions | p. 13 |
| Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction | p. 23 |
| On the Analysis of Dynamic Restart Strategies for Evolutionary Algorithms | p. 33 |
| Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem | p. 44 |
| Fitness Landscapes Based on Sorting and Shortest Paths Problems | p. 54 |
| Performance Measures for Dynamic Environments | p. 64 |
| Representation/Codification Issues | |
| Direct Representation and Variation Operators for the Fixed Charge Transportation Problem | p. 77 |
| On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search | p. 88 |
| Binary Representations of Integers and the Performance of Selectorecombinative Genetic Algorithms | p. 99 |
| Variation Operators: Analysis, New Techniques | |
| Parallel Varying Mutation in Deterministic and Self-adaptive GAs | p. 111 |
| Self-organizing Maps for Pareto Optimization of Airfoils | p. 122 |
| On Fitness Distributions and Expected Fitness Gain of Mutation Rates in Parallel Evolutionary Algorithms | p. 132 |
| Opposites Attract: Complementary Phenotype Selection for Crossover in Genetic Programming | p. 142 |
| Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms | p. 153 |
| Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs | p. 162 |
| Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment | p. 172 |
| Crossover Operator Effect in Function Optimization with Constraints | p. 184 |
| Reducing Random Fluctuations in Mutative Self-adaptation | p. 194 |
| On Weight-Biased Mutation for Graph Problems | p. 204 |
| Self-adaptive Operator Scheduling Using the Religion-Based EA | p. 214 |
| Probabilistic Model-Building Genetic Algorithms in Permutation Representation Domain Using Edge Histogram | p. 224 |
| From Syntactical to Semantical Mutation Operators for Structure Optimization | p. 234 |
| Evolutionary Techniques: Coevolution | |
| Parameter Control within a Co-operative Co-evolutionary Genetic Algorithm | p. 247 |
| The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution | p. 257 |
| Multiobjective Optimization | |
| Parallel and Hybrid Models for Multi-objective Optimization: Application to the Vehicle Routing Problem | p. 271 |
| Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car Engine | p. 281 |
| Multi-objective Co-operative Co-evolutionary Genetic Algorithm | p. 288 |
| Bayesian Optimization Algorithms for Multi-objective Optimization | p. 298 |
| An Evolutionary Algorithm for Controlling Chaos: The Use of Multi-objective Fitness Functions | p. 308 |
| Evolutionary Algorithms: New Techniques | |
| On Modelling Evolutionary Algorithm Implementations through Co-operating Populations | p. 321 |
| Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations | p. 331 |
| Advanced Population Diversity Measures in Genetic Programming | p. 341 |
| Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm | p. 351 |
| Metamodel-Assisted Evolution Strategies | p. 361 |
| Limiting the Number of Fitness Cases in Genetic Programming Using Statistics | p. 371 |
| Resource-Based Fitness Sharing | p. 381 |
| Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach | p. 391 |
| A New Asynchronous Parallel Evolutionary Algorithm for Function Optimization | p. 401 |
| Fighting Bloat with Nonparametric Parsimony Pressure | p. 411 |
| Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations | p. 422 |
| Adaptive Reservoir Genetic Algorithm with On-Line Decision Making | p. 432 |
| Genetic Algorithm Visualization Using Self-organizing Maps | p. 442 |
| Generalised Regression GA for Handling Inseparable Function Interaction: Algorithm and Applications | p. 452 |
| Diversity-Guided Evolutionary Algorithms | p. 462 |
| Hybrid Algorithms: Neurogenetic Algorithms, Evolutionary Techniques Applied to Neural Nets | |
| Evolutionary Optimization of Heterogeneous Problems | p. 475 |
| Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming | p. 485 |
| Learning and Evolution by Minimization of Mutual Information | p. 495 |
| Evolved RBF Networks for Time-Series Forecasting and Function Approximation | p. 505 |
| Hybrid Algorithms: Memetic, Other | |
| Evolutive Identification of Fuzzy Systems for Time-Series Prediction | p. 517 |
| HyGLEAM - An Approach to Generally Applicable Hybridization of Evolutionary Algorithms | p. 527 |
| Co-evolving Memetic Algorithms: Initial Investigations | p. 537 |
| Learning Classifier Systems | |
| Consideration of Multiple Objectives in Neural Learning Classifier Systems | p. 549 |
| On Using Constructivism in Neural Classifier Systems | p. 558 |
| Initial Modifications to XCS for Use in Interactive Evolutionary Design | p. 568 |
| First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics | p. 578 |
| TCS Learning Classifier System Controller on a Real Robot | p. 588 |
| Comparison of Different Techniques | |
| Comparing Synchronous and Asynchronous Cellular Genetic Algorithms | p. 601 |
| Satellite Range Scheduling: A Comparison of Genetic, Heuristic and Local Search | p. 611 |
| The LifeCycle Model: Combining Particle Swarm Optimisation, Genetic Algorithms and HillClimbers | p. 621 |
| Metaheuristics for Group Shop Scheduling | p. 631 |
| Experimental Investigation of Three Distributed Genetic Programming Models | p. 641 |
| Model-Based Search for Combinatorial Optimization: A Comparative Study | p. 651 |
| Evolutionary Algorithm Implementations | |
| A Framework for Distributed Evolutionary Algorithms | p. 665 |
| Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP | p. 676 |
| Applications | |
| Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer Games | p. 689 |
| A Parallel Evolutionary Algorithm for Stochastic Natural Language Parsing | p. 700 |
| Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming | p. 710 |
| Inferring Phylogenetic Trees Using Evolutionary Algorithms | p. 720 |
| Towards a More Efficient Evolutionary Induction of Bayesian Networks | p. 730 |
| Robust Multiscale Affine 2D-Image Registration through Evolutionary Strategies | p. 740 |
| Synthesizing Graphical Models Employing Explaining Away | p. 749 |
| Constructive Geometric Constraint Solving: A New Application of Genetic Algorithms | p. 759 |
| Multimeme Algorithms for Protein Structure Prediction | p. 769 |
| A Dynamic Traffic Model for Frequency Assignment | p. 779 |
| A Parameter-Free Genetic Algorithm for a Fixed Channel Assignment Problem with Limited Bandwidth | p. 789 |
| Real-Coded Parameter-Free Genetic Algorithm for Job-Shop Scheduling Problems | p. 800 |
| Clustering Gene Expression Profiles with Memetic Algorithms | p. 811 |
| Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human Genetics | p. 821 |
| Evolutionary Graph Generation System and Its Application to Bit-Serial Arithmetic Circuit Synthesis | p. 831 |
| Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation | p. 841 |
| Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling | p. 851 |
| Evolving the Topology of Hidden Markov Models Using Evolutionary Algorithms | p. 861 |
| Solving a Real World Routing Problem Using Multiple Evolutionary Agents | p. 871 |
| Other Bioinspired Algorithms: Cellular Automata, Ant Colony Optimization | |
| An Ant Colony Optimization Approach to the Probabilistic Traveling Salesman Problem | p. 883 |
| When Model Bias Is Stronger than Selection Pressure | p. 893 |
| Evolution of Asynchronous Cellular Automata | p. 903 |
| Improved Ant-Based Clustering and Sorting in a Document Retrieval Interface | p. 913 |
| An Adaptive Flocking Algorithm for Spatial Clustering | p. 924 |
| Evolution of Asynchronous Cellular Automata for the Density Task | p. 934 |
| Author Index | p. 945 |
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