Table of Contents

• Random Dynamics Optimum Tracking with Evolution StrategiesDirk V. Arnold, Hans-Georg Beyer. 3-12 [doi]
• On the Behavior of Evolutionary Global-Local Hybrids with Dynamic Fitness FunctionsRoger Eriksson, Björn Olsson. 13-22 [doi]
• Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint SatisfactionJano I. van Hemert, Thomas Bäck. 23-32 [doi]
• On the Analysis of Dynamic Restart Strategies for Evolutionary AlgorithmsThomas Jansen. 33-43 [doi]
• Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization ProblemMarco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl, Kalyanmoy Deb. 44-53 [doi]
• Fitness Landscapes Based on Sorting and Shortest Paths ProblemsJens Scharnow, Karsten Tinnefeld, Ingo Wegener. 54-63 [doi]
• Performance Measures for Dynamic EnvironmentsKarsten Weicker. 64-76 [doi]
• Direct Representation and Variation Operators for the Fixed Charge Transportation ProblemChristoph Eckert, Jens Gottlieb. 77-87 [doi]
• On the Utility of Redundant Encodings in Mutation-Based Evolutionary SearchJoshua D. Knowles, Richard A. Watson. 88-98 [doi]
• Binary Representations of Integers and the Performance of Selectorecombinative Genetic AlgorithmsFranz Rothlauf. 99-110 [doi]
• Parallel Varying Mutation in Deterministic and Self-adaptive GAsHernán E. Aguirre, Kiyoshi Tanaka. 111-121 [doi]
• Self-organizing Maps for Pareto Optimization of AirfoilsDirk Büche, Gianfranco Guidati, Peter Stoll, Petros Koumoutsakos. 122-131 [doi]
• On Fitness Distributions and Expected Fitness Gain of Mutation Rates in Parallel Evolutionary AlgorithmsDavid Corne, Martin J. Oates, Douglas B. Kell. 132-141 [doi]
• Opposites Attract: Complementary Phenotype Selection for Crossover in Genetic ProgrammingBrad Dolin, Maribel García Arenas, Juan J. Merelo Guervós. 142-152 [doi]
• Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic AlgorithmsCésar Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas. 153-161 [doi]
• Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAsKokolo Ikeda, Shigenobu Kobayashi. 162-171 [doi]
• Operator Learning for a Problem Class in a Distributed Peer-to-Peer EnvironmentMárk Jelasity, Mike Preuß, A. E. Eiben. 172-183 [doi]
• Crossover Operator Effect in Function Optimization with ConstraintsDomingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas. 184-193 [doi]
• Reducing Random Fluctuations in Mutative Self-adaptationThomas Philip Runarsson. 194-203 [doi]
• On Weight-Biased Mutation for Graph ProblemsGünther R. Raidl, Gabriele Kodydek, Bryant A. Julstrom. 204-213 [doi]
• Self-adaptive Operator Scheduling Using the Religion-Based EARené Thomsen, Thiemo Krink. 214-223 [doi]
• Probabilistic Model-Building Genetic Algorithms in Permutation Representation Domain Using Edge HistogramShigeyoshi Tsutsui. 224-233 [doi]
• From Syntactical to Semantical Mutation Operators for Structure OptimizationDirk Wiesmann. 234-246 [doi]
• Parameter Control within a Co-operative Co-evolutionary Genetic AlgorithmAntony W. Iorio, Xiaodong Li. 247-256 [doi]
• The Effects of Representational Bias on Collaboration Methods in Cooperative CoevolutionR. Paul Wiegand, William C. Liles, Kenneth A. De Jong. 257-270 [doi]
• Parallel and Hybrid Models for Multi-objective Optimization: Application to the Vehicle Routing ProblemNicolas Jozefowiez, Frédéric Semet, El-Ghazali Talbi. 271-280 [doi]
• Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car EngineMasahiro Kanazaki, Masashi Morikawa, Shigeru Obayashi, Kazuhiro Nakahashi. 281-287 [doi]
• Multi-objective Co-operative Co-evolutionary Genetic AlgorithmNattavut Keerativuttitumrong, Nachol Chaiyaratana, Vara Varavithya. 288-297 [doi]
• Bayesian Optimization Algorithms for Multi-objective OptimizationMarco Laumanns, Jiri Ocenasek. 298-307 [doi]
• An Evolutionary Algorithm for Controlling Chaos: The Use of Multi-objective Fitness FunctionsHendrik Richter. 308-320 [doi]
• On Modelling Evolutionary Algorithm Implementations through Co-operating PopulationsPanagiotis Adamidis, Vassilios Petridis. 321-330 [doi]
• Permutation Optimization by Iterated Estimation of Random Keys Marginal Product FactorizationsPeter A. N. Bosman, Dirk Thierens. 331-340 [doi]
• Advanced Population Diversity Measures in Genetic ProgrammingEdmund K. Burke, Steven M. Gustafson, Graham Kendall, Natalio Krasnogor. 341-350 [doi]
• Introducing Start Expression Genes to the Linkage Learning Genetic AlgorithmYing-Ping Chen, David E. Goldberg. 351-360 [doi]
• Metamodel-Assisted Evolution StrategiesMichael Emmerich, Alexios Giotis, Mutlu Özdemir, Thomas Bäck, Kyriakos Giannakoglou. 361-370 [doi]
• Limiting the Number of Fitness Cases in Genetic Programming Using StatisticsMario Giacobini, Marco Tomassini, Leonardo Vanneschi. 371-380 [doi]
• Resource-Based Fitness SharingJeffrey Horn. 381-390 [doi]
• Evolution Strategy with Neighborhood Attraction Using a Neural Gas ApproachJutta Huhse, Thomas Villmann, Peter Merz, Andreas Zell. 391-400 [doi]
• A New Asynchronous Parallel Evolutionary Algorithm for Function OptimizationPu Liu, Francis C. M. Lau, Michael J. Lewis, Cho-Li Wang. 401-410 [doi]
• Fighting Bloat with Nonparametric Parsimony PressureSean Luke, Liviu Panait. 411-421 [doi]
• Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large PopulationsSibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos. 422-431 [doi]
• Adaptive Reservoir Genetic Algorithm with On-Line Decision MakingCristian Munteanu, Agostinho C. Rosa. 432-441 [doi]
• Genetic Algorithm Visualization Using Self-organizing MapsGustavo Romero, Juan J. Merelo Guervós, Pedro A. Castillo Valdivieso, Francisco Javier García Castellano, Maribel García Arenas. 442-451 [doi]
• Generalised Regression GA for Handling Inseparable Function Interaction: Algorithm and ApplicationsRajkumar Roy, Ashutosh Tiwari. 452-463 [doi]
• Diversity-Guided Evolutionary AlgorithmsRasmus K. Ursem. 462-474 [doi]
• Evolutionary Optimization of Heterogeneous ProblemsLluís A. Belanche Muñoz. 475-484 [doi]
• Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic ProgrammingJulian Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero. 485-494 [doi]
• Learning and Evolution by Minimization of Mutual InformationYong Liu, Xin Yao. 495-504 [doi]
• Evolved RBF Networks for Time-Series Forecasting and Function ApproximationVíctor Manuel Rivas Santos, Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós. 505-516 [doi]
• Evolutive Identification of Fuzzy Systems for Time-Series PredictionJesús González, Ignacio Rojas, Héctor Pomares. 517-526 [doi]
• HyGLEAM - An Approach to Generally Applicable Hybridization of Evolutionary AlgorithmsWilfried Jakob. 527-536 [doi]
• Co-evolving Memetic Algorithms: Initial InvestigationsJim Smith. 537-548 [doi]
• Consideration of Multiple Objectives in Neural Learning Classifier SystemsLarry Bull, Matthew Studley. 549-557 [doi]
• On Using Constructivism in Neural Classifier SystemsLarry Bull. 558-567 [doi]
• Initial Modifications to XCS for Use in Interactive Evolutionary DesignLarry Bull, David Wyatt, Ian C. Parmee. 568-577 [doi]
• First Results from Experiments in Fuzzy Classifier System Architectures for Mobile RoboticsAnthony G. Pipe, Brian Carse. 578-587 [doi]
• TCS Learning Classifier System Controller on a Real RobotJacob Hurst, Larry Bull, Chris Melhuish. 588-600 [doi]
• Comparing Synchronous and Asynchronous Cellular Genetic AlgorithmsEnrique Alba, Mario Giacobini, Marco Tomassini, Sergio Romero. 601-610 [doi]
• Satellite Range Scheduling: A Comparison of Genetic, Heuristic and Local SearchLaura Barbulescu, Adele E. Howe, Jean-Paul Watson, L. Darrell Whitley. 611-620 [doi]
• The LifeCycle Model: Combining Particle Swarm Optimisation, Genetic Algorithms and HillClimbersThiemo Krink, Morten Løvbjerg. 621-630 [doi]
• Metaheuristics for Group Shop SchedulingMichael Sampels, Christian Blum, Monaldo Mastrolilli, Olivia Rossi-Doria. 631-640 [doi]
• Experimental Investigation of Three Distributed Genetic Programming ModelsMarco Tomassini, Leonardo Vanneschi, Francisco Fernández de Vega, Germán Galeano Gil. 641-650 [doi]
• Model-Based Search for Combinatorial Optimization: A Comparative StudyMark Zlochin, Marco Dorigo. 651-664 [doi]
• A Framework for Distributed Evolutionary AlgorithmsMaribel García Arenas, Pierre Collet, A. E. Eiben, Márk Jelasity, Juan J. Merelo Guervós, Ben Paechter, Mike Preuß, Marc Schoenauer. 665-675 [doi]
• Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAPPedro A. Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano, Juan J. Merelo Guervós, Víctor Manuel Rivas Santos, Gustavo Romero. 676-688 [doi]
• Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer GamesEike Falk Anderson. 689-699 [doi]
• A Parallel Evolutionary Algorithm for Stochastic Natural Language ParsingLourdes Araujo. 700-709 [doi]
• Evolutionary Learning of Boolean Queries by Multiobjective Genetic ProgrammingOscar Cordón, Enrique Herrera-Viedma, María Luque. 710-719 [doi]
• Inferring Phylogenetic Trees Using Evolutionary AlgorithmsCarlos Cotta, Pablo Moscato. 720-729 [doi]
• Towards a More Efficient Evolutionary Induction of Bayesian NetworksCarlos Cotta, Jorge Muruzábal. 730-739 [doi]
• Robust Multiscale Affine 2D-Image Registration through Evolutionary StrategiesHéctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre, José L. Marroquín, Carlos A. Coello Coello. 740-748 [doi]
• Synthesizing Graphical Models Employing Explaining AwayRalf Garionis. 749-758 [doi]
• Constructive Geometric Constraint Solving: A New Application of Genetic AlgorithmsRobert Joan-Arinyo, M. Victoria Luzón, Antoni Soto-Riera. 759-768 [doi]
• Multimeme Algorithms for Protein Structure PredictionNatalio Krasnogor, B. P. Blackburne, Edmund K. Burke, Jonathan D. Hirst. 769-778 [doi]
• A Dynamic Traffic Model for Frequency AssignmentHakim Mabed, Alexandre Caminada, Jin-Kao Hao, Denis Renaud. 779-788 [doi]
• A Parameter-Free Genetic Algorithm for a Fixed Channel Assignment Problem with Limited BandwidthShouichi Matsui, Isamu Watanabe, Ken-ichi Tokoro. 789-799 [doi]
• Real-Coded Parameter-Free Genetic Algorithm for Job-Shop Scheduling ProblemsShouichi Matsui, Isamu Watanabe, Ken-ichi Tokoro. 800-810 [doi]
• Clustering Gene Expression Profiles with Memetic AlgorithmsPeter Merz, Andreas Zell. 811-820 [doi]
• Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human GeneticsJason H. Moore, Lance W. Hahn. 821-830 [doi]
• Evolutionary Graph Generation System and Its Application to Bit-Serial Arithmetic Circuit SynthesisMakoto Motegi, Naofumi Homma, Takafumi Aoki, Tatsuo Higuchi. 831-840 [doi]
• Evaluating Multi-criteria Evolutionary Algorithms for Airfoil OptimisationBoris Naujoks, Lars Willmes, Thomas Bäck, Werner Haase. 841-850 [doi]
• Hyperheuristics: A Robust Optimisation Method Applied to Nurse SchedulingPeter I. Cowling, Graham Kendall, Eric Soubeiga. 851-860 [doi]
• Evolving the Topology of Hidden Markov Models Using Evolutionary AlgorithmsRené Thomsen. 861-870 [doi]
• Solving a Real World Routing Problem Using Multiple Evolutionary AgentsNeil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm. 871-882 [doi]
• An Ant Colony Optimization Approach to the Probabilistic Traveling Salesman ProblemLeonora Bianchi, Luca Maria Gambardella, Marco Dorigo. 883-892 [doi]
• When Model Bias Is Stronger than Selection PressureChristian Blum, Michael Sampels. 893-902 [doi]
• Evolution of Asynchronous Cellular AutomataMathieu S. Capcarrère. 903-912 [doi]
• Improved Ant-Based Clustering and SortingJulia Handl, Bernd Meyer. 913-923 [doi]
• An Adaptive Flocking Algorithm for Spatial ClusteringGianluigi Folino, Giandomenico Spezzano. 924-933 [doi]
• Evolution of Asynchronous Cellular Automata for the Density TaskMarco Tomassini, Mattias Venzi. 934-944 [doi]