Front matter
3-12
Random Dynamics Optimum Tracking with Evolution Strategies
Dirk V. Arnold and Hans-Georg Beyer
13-22
On the Behavior of Evolutionary Global-Local Hybrids with Dynamic Fitness Functions
Roger Eriksson and Björn Olsson
23-32
Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction
Jano I. van Hemert and Thomas Bäck
33-43
On the Analysis of Dynamic Restart Strategies for Evolutionary Algorithms
Thomas Jansen
44-53
Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem
Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl and Kalyanmoy Deb
54-63
Fitness Landscapes Based on Sorting and Shortest Paths Problems
Jens Scharnow, Karsten Tinnefeld and Ingo Wegener
64-73
Performance Measures for Dynamic Environments
Karsten Weicker
77-87
Direct Representation and Variation Operators for the Fixed Charge Transportation Problem
Christoph Eckert and Jens Gottlieb
88-98
On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search
Joshua D. Knowles and Richard A. Watson
99-108
Binary Representations of Integers and the Performance of Selectorecombinative Genetic Algorithms
Franz Rothlauf
111-121
Parallel Varying Mutation in Deterministic and Self-adaptive GAs
Hernán E. Aguirre and Kiyoshi Tanaka
122-131
Self-organizing Maps for Pareto Optimization of Airfoils
Dirk Büche, Gianfranco Guidati, Peter Stoll and Petros Koumoutsakos
132-141
On Fitness Distributions and Expected Fitness Gain of Mutation Rates in Parallel Evolutionary Algorithms
David W. Corne, Martin J. Oates and Douglas B. Kell
142-152
Opposites Attract: Complementary Phenotype Selection for Crossover in Genetic Programming
Brad Dolin, M.G. Arenas and J.J. Merelo
153-161
Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms
C. Hervás-Martínez, D. Ortiz-Boyer and N. García-Pedrajas
162-171
Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs
Kokolo Ikeda and Shigenobu Kobayashi
172-183
Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment
Márk Jelasity, Mike Preuβ and A. E. Eiben
184-193
Crossover Operator Effect in Function Optimization with Constraints
D. Ortiz-Boyer, C. Hervás-Martínez and N. García-Pedrajas
194-203
Reducing Random Fluctuations in Mutative Self-adaptation
Thomas Philip Runarsson
204-213
On Weight-Biased Mutation for Graph Problems
Günther R. Raidl, Gabriele Kodydek and Bryant A. Julstrom
214-223
Self-adaptive Operator Scheduling Using the Religion-Based EA
René Thomsen and Thiemo Krink
224-233
Probabilistic Model-Building Genetic Algorithms in Permutation Representation Domain Using Edge Histogram
Shigeyoshi Tsutsui
234-243
From Syntactical to Semantical Mutation Operators for Structure Optimization
Dirk Wiesmann
247-256
Parameter Control within a Co-operative Co-evolutionary Genetic Algorithm
Antony Iorio and Xiaodong Li
257-268
The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution
R. Paul Wiegand, William C. Liles and Kenneth A. De Jong
271-280
Parallel and Hybrid Models for Multi-objective Optimization: Application to the Vehicle Routing Problem
Nicolas Jozefowiez, Frédéric Semet and El-Ghazali Talbi
281-287
Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car Engine
Masahiro Kanazaki, Masashi Morikaw, Shigeru Obayashi and Kazuhiro Nakahashi
288-297
Multi-objective Co-operative Co-evolutionary Genetic Algorithm
Nattavut Keerativuttitumrong, Nachol Chaiyaratana and Vara Varavithya
298-307
Bayesian Optimization Algorithms for Multi-objective Optimization
Marco Laumanns and Jiri Ocenasek
308-317
An Evolutionary Algorithm for Controlling Chaos: The Use of Multi—objective Fitness Functions
Hendrik Richter
321-330
On Modelling Evolutionary Algorithm Implementations through Co-operating Populations
Panagiotis Adamidis and Vasilios Petridis
331-340
Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations
Peter A. N. Bosman and Dirk Thierens
341-350
Advanced Population Diversity Measures in Genetic Programming
Edmund Burke, Steven Gustafson, Graham Kendall and Natalio Krasnogor
351-360
Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm
Ying-ping Chen and David E. Goldberg
361-370
Metamodel—Assisted Evolution Strategies
Michael Emmerich, Alexios Giotis, Mutlu Özdemir, Thomas Bäck and Kyriakos Giannakoglou
371-380
Limiting the Number of Fitness Cases in Genetic Programming Using Statistics
Mario Giacobini, Marco Tomassini and Leonardo Vanneschi
381-390
Resource-Based Fitness Sharing
Jeffrey Horn
391-400
Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach
Jutta Huhse, Thomas Villmann, Peter Merz and Andreas Zell
401-410
A New Asynchronous Parallel Evolutionary Algorithm for Function Optimization
Pu Liu, Francis Lau, Michael J. Lewis and Cho-li Wang
411-421
Fighting Bloat with Nonparametric Parsimony Pressure
Sean Luke and Liviu Panait
422-431
Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations
Sibylle D. Müller, Nikolaus Hansen and Petros Koumoutsakos
432-441
Adaptive Reservoir Genetic Algorithm with On-Line Decision Making
Cristian Munteanu and Agostinho Rosa
442-451
Genetic Algorithm Visualization Using Self-organizing Maps
G. Romero, J. J. Merelo, P. A. Castillo, J. G. Castellano and M. G. Arenas
452-461
Generalised Regression GA for Handling Inseparable Function Interaction: Algorithm and Applications
Rajkumar Roy and Ashutosh Tiwari
462-471
Diversity-Guided Evolutionary Algorithms
Rasmus K. Ursem
475-484
Evolutionary Optimization of Heterogeneous Problems
Lluís A. Belanche Muñoz
485-494
Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming
Julian Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos and Daniel Rivero
495-504
Learning and Evolution by Minimization of Mutual Information
Yong Liu and Xin Yao
505-514
Evolved RBF Networks for Time-Series Forecasting and Function Approximation
V. M. Rivas, P. A. Castillo and J. J. Merelo
517-526
Evolutive Identification of Fuzzy Systems for Time-Series Prediction
Jesús González, Ignacio Rojas and Héctor Pomares
527-536
HyGLEAM–An Approach to Generally Applicable Hybridization of Evolutionary Algorithms
Wilfried Jakob
537-546
Co-evolving Memetic Algorithms: Initial Investigations
Jim Smith
549-557
Consideration of Multiple Objectives in Neural Learning Classifier Systems
Larry Bull and Matt Studley
558-567
On Using Constructivism in Neural Classifier Systems
Larry Bull
568-577
Initial Modifications to XCS for Use in Interactive Evolutionary Design
Larry Bull, David Wyatt and Ian Parmee
578-587
First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics
A. G. Pipe and B. Carse
588-597
TCS Learning Classifier System Controller on a Real Robot
Jacob Hurst, Larry Bull and Chris Melhuish
601-610
Comparing Synchronous and Asynchronous Cellular Genetic Algorithms
Enrique Alba, Mario Giacobini, Marco Tomassini and Sergio Romero
611-620
Satellite Range Scheduling: A Comparison of Genetic, Heuristic and Local Search
L. Barbulescu, A. E. Howe, J. P. Watson and L. D. Whitley
621-630
The LifeCycle Model: Combining Particle Swarm Optimisation, Genetic Algorithms and HillClimbers
Thiemo Krink and Morten Løvbjerg
631-640
Metaheuristics for Group Shop Scheduling
Michael Sampels, Christian Blum, Monaldo Mastrolilli and Olivia Rossi-Doria
641-650
Experimental Investigation of Three Distributed Genetic Programming Models
Marco Tomassini, Leonardo Vanneschi, Francisco Fernández and Germán Galeano
651-661
Model-Based Search for Combinatorial Optimization: A Comparative Study
Mark Zlochin and Marco Dorigo
665-675
A Framework for Distributed Evolutionary Algorithms
M. G. Arenas, Pierre Collet, A. E. Eiben, Márk Jelasity and J. J. Merelo, et al.
676-685
Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP
P. A. Castillo, M. G. Arenas, J. G. Castellano, J. J. Merelo and V. M. Rivas, et al.
689-699
Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer Games
Eike Falk Anderson
700-709
A Parallel Evolutionary Algorithm for Stochastic Natural Language Parsing
Lourdes Araujo
710-719
Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming
Oscar Cordón, Enrique Herrera-Viedma and María Luque
720-729
Inferring Phylogenetic Trees Using Evolutionary Algorithms
Carlos Cotta and Pablo Moscato
730-739
Towards a More E.cient Evolutionary Induction of Bayesian Networks
Carlos Cotta and Jorge Muruzábal
740-748
Robust Multiscale A.ne 2D-Image Registration through Evolutionary Strategies
Héctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre, José Luis Marroquín Zaleta and Carlos Coello Coello
749-758
Synthesizing Graphical Models Employing Explaining Away
Ralf Garionis
759-768
Constructive Geometric Constraint Solving: A New Application of Genetic Algorithms
R. Joan-Arinyo, M.V. Luzón and A. Soto
769-778
Multimeme Algorithms for Protein Structure Prediction
N. Krasnogor, B. P. Blackburne, E. K. Burke and J. D. Hirst
779-788
A Dynamic Traffic Model for Frequency Assignment
Hakim Mabed, Alexandre Caminada, Jin-Kao Hao and Denis Renaud1
789-799
A Parameter-Free Genetic Algorithm for a Fixed Channel Assignment Problem with Limited Bandwidth
Shouichi Matsui, Isamu Watanabe and Ken-ichi Tokoro
800-810
Real-Coded Parameter-Free Genetic Algorithm for Job-Shop Scheduling Problems
Shouichi Matsui, Isamu Watanabe and Ken-ichi Tokoro
811-820
Clustering Gene Expression Profiles with Memetic Algorithms
Peter Merz and Andreas Zell
821-830
Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human Genetics
Jason H. Moore and Lance W. Hahn
831-840
Evolutionary Graph Generation System and Its Application to Bit-Serial Arithmetic Circuit Synthesis
Makoto Motegi, Naofumi Homma, Takafumi Aoki and Tatsuo Higuchi
841-850
Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation
Boris Naujoks, Lars Willmes, Thomas Bäck and Werner Haase
851-860
Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling
Peter Cowling, Graham Kendall and Eric Soubeiga
861-870
Evolving the Topology of Hidden Markov Models Using Evolutionary Algorithms
René Thomsen
871-880
Solving a Real World Routing Problem Using Multiple Evolutionary Agents
Neil Urquhart, Peter Ross, Ben Paechter and Ken Chisholm
883-892
An Ant Colony Optimization Approach to the Probabilistic Traveling Salesman Problem
Leonora Bianchi, Luca Maria Gambardella and Marco Dorigo
893-902
When Model Bias Is Stronger than Selection Pressure
Christian Blum and Michael Sampels
903-912
Evolution of Asynchronous Cellular Automata
Mathieu S. Capcarrere
913-923
Improved Ant-Based Clustering and Sorting in a Document Retrieval Interface
Julia Handl and Bernd Meyer
924-933
An Adaptive Flocking Algorithm for Spatial Clustering
Gianluigi Folino and Giandomenico Spezzano
934-943
Evolution of Asynchronous Cellular Automata for the Density Task
Marco Tomassini and Mattias Venzi
Back matter