7. PPSN 2002: Granada, Spain

Evolutionary Algorithms Theory

• Dirk V. Arnold, Hans-Georg Beyer:
  Random Dynamics Optimum Tracking with Evolution Strategies. 3-12
  
• Roger Eriksson, Björn Olsson:
  On the Behavior of Evolutionary Global-Local Hybrids with Dynamic Fitness Functions. 13-22
  
• Jano I. van Hemert, Thomas Bäck:
  Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction. 23-32
  
• Thomas Jansen:
  On the Analysis of Dynamic Restart Strategies for Evolutionary Algorithms. 33-43
  
• Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl, Kalyanmoy Deb:
  Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem. 44-53
  
• Jens Scharnow, Karsten Tinnefeld, Ingo Wegener:
  Fitness Landscapes Based on Sorting and Shortest Paths Problems. 54-63
  
• Karsten Weicker:
  Performance Measures for Dynamic Environments. 64-76
  

Representation/Codification Issues

• Christoph Eckert, Jens Gottlieb:
  Direct Representation and Variation Operators for the Fixed Charge Transportation Problem. 77-87
  
• Joshua D. Knowles, Richard A. Watson:
  On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search. 88-98
  
• Franz Rothlauf:
  Binary Representations of Integers and the Performance of Selectorecombinative Genetic Algorithms. 99-110
  

Variation Operators: Analysis, New Techniques

• Hernán E. Aguirre, Kiyoshi Tanaka:
  Parallel Varying Mutation in Deterministic and Self-adaptive GAs. 111-121
  
• Dirk Büche, Gianfranco Guidati, Peter Stoll, Petros Koumoutsakos:
  Self-organizing Maps for Pareto Optimization of Airfoils. 122-131
  
• David Corne, Martin J. Oates, Douglas B. Kell:
  On Fitness Distributions and Expected Fitness Gain of Mutation Rates in Parallel Evolutionary Algorithms. 132-141
  
• Brad Dolin, Maribel García Arenas, Juan J. Merelo Guervós:
  Opposites Attract: Complementary Phenotype Selection for Crossover in Genetic Programming. 142-152
  
• César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas:
  Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. 153-161
  
• Kokolo Ikeda, Shigenobu Kobayashi:
  Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. 162-171
  
• Márk Jelasity, Mike Preuß, A. E. Eiben:
  Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment. 172-183
  
• Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas:
  Crossover Operator Effect in Function Optimization with Constraints. 184-193
  
• Thomas Philip Runarsson:
  Reducing Random Fluctuations in Mutative Self-adaptation. 194-203
  
• Günther R. Raidl, Gabriele Kodydek, Bryant A. Julstrom:
  On Weight-Biased Mutation for Graph Problems. 204-213
  
• René Thomsen, Thiemo Krink:
  Self-adaptive Operator Scheduling Using the Religion-Based EA. 214-223
  
• Shigeyoshi Tsutsui:
  Probabilistic Model-Building Genetic Algorithms in Permutation Representation Domain Using Edge Histogram. 224-233
  
• Dirk Wiesmann:
  From Syntactical to Semantical Mutation Operators for Structure Optimization. 234-246
  

Evolutionary Techniques: Coevolution

• Antony W. Iorio, Xiaodong Li:
  Parameter Control within a Co-operative Co-evolutionary Genetic Algorithm. 247-256
  
• R. Paul Wiegand, William C. Liles, Kenneth A. De Jong:
  The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution. 257-270
  

Multiobjective Optimization

• Nicolas Jozefowiez, Frédéric Semet, El-Ghazali Talbi:
  Parallel and Hybrid Models for Multi-objective Optimization: Application to the Vehicle Routing Problem. 271-280
  
• Masahiro Kanazaki, Masashi Morikawa, Shigeru Obayashi, Kazuhiro Nakahashi:
  Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car Engine. 281-287
  
• Nattavut Keerativuttitumrong, Nachol Chaiyaratana, Vara Varavithya:
  Multi-objective Co-operative Co-evolutionary Genetic Algorithm. 288-297
  
• Marco Laumanns, Jiri Ocenasek:
  Bayesian Optimization Algorithms for Multi-objective Optimization. 298-307
  
• Hendrik Richter:
  An Evolutionary Algorithm for Controlling Chaos: The Use of Multi-objective Fitness Functions. 308-320
  

Evolutionary Algorithms: New Techniques

• Panagiotis Adamidis, Vassilios Petridis:
  On Modelling Evolutionary Algorithm Implementations through Co-operating Populations. 321-330
  
• Peter A. N. Bosman, Dirk Thierens:
  Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations. 331-340
  
• Edmund K. Burke, Steven M. Gustafson, Graham Kendall, Natalio Krasnogor:
  Advanced Population Diversity Measures in Genetic Programming. 341-350
  
• Ying-Ping Chen, David E. Goldberg:
  Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. 351-360
  
• Michael Emmerich, Alexios Giotis, Mutlu Özdemir, Thomas Bäck, Kyriakos Giannakoglou:
  Metamodel-Assisted Evolution Strategies. 361-370
  
• Mario Giacobini, Marco Tomassini, Leonardo Vanneschi:
  Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. 371-380
  
• Jeffrey Horn:
  Resource-Based Fitness Sharing. 381-390
  
• Jutta Huhse, Thomas Villmann, Peter Merz, Andreas Zell:
  Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach. 391-400
  
• Pu Liu, Francis C. M. Lau, Michael J. Lewis, Cho-Li Wang:
  A New Asynchronous Parallel Evolutionary Algorithm for Function Optimization. 401-410
  
• Sean Luke, Liviu Panait:
  Fighting Bloat with Nonparametric Parsimony Pressure. 411-421
  
• Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos:
  Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations. 422-431
  
• Cristian Munteanu, Agostinho C. Rosa:
  Adaptive Reservoir Genetic Algorithm with On-Line Decision Making. 432-441
  
• Gustavo Romero, Juan J. Merelo Guervós, Pedro A. Castillo Valdivieso, Francisco Javier García Castellano, Maribel García Arenas:
  Genetic Algorithm Visualization Using Self-organizing Maps. 442-451
  
• Rajkumar Roy, Ashutosh Tiwari:
  Generalised Regression GA for Handling Inseparable Function Interaction: Algorithm and Applications. 452-463
  
• Rasmus K. Ursem:
  Diversity-Guided Evolutionary Algorithms. 462-474
  

Hybrid Algorithms: Neurogenetic Algorithms, Evolutionary Techniques Applied to Neural Nets

• Lluís A. Belanche Muñoz:
  Evolutionary Optimization of Heterogeneous Problems. 475-484
  
• Julian Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero:
  Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming. 485-494
  
• Yong Liu, Xin Yao:
  Learning and Evolution by Minimization of Mutual Information. 495-504
  
• Víctor Manuel Rivas Santos, Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós:
  Evolved RBF Networks for Time-Series Forecasting and Function Approximation. 505-516
  

Hybrid Algorithms: Memetic, Other

• Jesús González, Ignacio Rojas, Héctor Pomares:
  Evolutive Identification of Fuzzy Systems for Time-Series Prediction. 517-526
  
• Wilfried Jakob:
  HyGLEAM - An Approach to Generally Applicable Hybridization of Evolutionary Algorithms. 527-536
  
• Jim Smith:
  Co-evolving Memetic Algorithms: Initial Investigations. 537-548
  

Learning Classifier Systems

• Larry Bull, Matthew Studley:
  Consideration of Multiple Objectives in Neural Learning Classifier Systems. 549-557
  
• Larry Bull:
  On Using Constructivism in Neural Classifier Systems. 558-567
  
• Larry Bull, David Wyatt, Ian C. Parmee:
  Initial Modifications to XCS for Use in Interactive Evolutionary Design. 568-577
  
• Anthony G. Pipe, Brian Carse:
  First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics. 578-587
  
• Jacob Hurst, Larry Bull, Chris Melhuish:
  TCS Learning Classifier System Controller on a Real Robot. 588-600
  

Comparison of Different Techniques

• Enrique Alba, Mario Giacobini, Marco Tomassini, Sergio Romero:
  Comparing Synchronous and Asynchronous Cellular Genetic Algorithms. 601-610
  
• Laura Barbulescu, Adele E. Howe, Jean-Paul Watson, L. Darrell Whitley:
  Satellite Range Scheduling: A Comparison of Genetic, Heuristic and Local Search. 611-620
  
• Thiemo Krink, Morten Løvbjerg:
  The LifeCycle Model: Combining Particle Swarm Optimisation, Genetic Algorithms and HillClimbers. 621-630
  
• Michael Sampels, Christian Blum, Monaldo Mastrolilli, Olivia Rossi-Doria:
  Metaheuristics for Group Shop Scheduling. 631-640
  
• Marco Tomassini, Leonardo Vanneschi, Francisco Fernández de Vega, Germán Galeano Gil:
  Experimental Investigation of Three Distributed Genetic Programming Models. 641-650
  
• Mark Zlochin, Marco Dorigo:
  Model-Based Search for Combinatorial Optimization: A Comparative Study. 651-664
  

Evolutionary Algorithm Implementations

• Maribel García Arenas, Pierre Collet, A. E. Eiben, Márk Jelasity, Juan J. Merelo Guervós, Ben Paechter, Mike Preuß, Marc Schoenauer:
  A Framework for Distributed Evolutionary Algorithms. 665-675
  
• Pedro A. Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano, Juan J. Merelo Guervós, Víctor Manuel Rivas Santos, Gustavo Romero:
  Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP. 676-688
  

Applications

• Eike Falk Anderson:
  Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer Games. 689-699
  
• Lourdes Araujo:
  A Parallel Evolutionary Algorithm for Stochastic Natural Language Parsing. 700-709
  
• Oscar Cordón, Enrique Herrera-Viedma, María Luque:
  Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming. 710-719
  
• Carlos Cotta, Pablo Moscato:
  Inferring Phylogenetic Trees Using Evolutionary Algorithms. 720-729
  
• Carlos Cotta, Jorge Muruzábal:
  Towards a More Efficient Evolutionary Induction of Bayesian Networks. 730-739
  
• Héctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre, José L. Marroquín, Carlos A. Coello Coello:
  Robust Multiscale Affine 2D-Image Registration through Evolutionary Strategies. 740-748
  
• Ralf Garionis:
  Synthesizing Graphical Models Employing Explaining Away. 749-758
  
• Robert Joan-Arinyo, M. Victoria Luzón, Antoni Soto-Riera:
  Constructive Geometric Constraint Solving: A New Application of Genetic Algorithms. 759-768
  
• Natalio Krasnogor, B. P. Blackburne, Edmund K. Burke, Jonathan D. Hirst:
  Multimeme Algorithms for Protein Structure Prediction. 769-778
  
• Hakim Mabed, Alexandre Caminada, Jin-Kao Hao, Denis Renaud:
  A Dynamic Traffic Model for Frequency Assignment. 779-788
  
• Shouichi Matsui, Isamu Watanabe, Ken-ichi Tokoro:
  A Parameter-Free Genetic Algorithm for a Fixed Channel Assignment Problem with Limited Bandwidth. 789-799
  
• Shouichi Matsui, Isamu Watanabe, Ken-ichi Tokoro:
  Real-Coded Parameter-Free Genetic Algorithm for Job-Shop Scheduling Problems. 800-810
  
• Peter Merz, Andreas Zell:
  Clustering Gene Expression Profiles with Memetic Algorithms. 811-820
  
• Jason H. Moore, Lance W. Hahn:
  Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human Genetics. 821-830
  
• Makoto Motegi, Naofumi Homma, Takafumi Aoki, Tatsuo Higuchi:
  Evolutionary Graph Generation System and Its Application to Bit-Serial Arithmetic Circuit Synthesis. 831-840
  
• Boris Naujoks, Lars Willmes, Thomas Bäck, Werner Haase:
  Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation. 841-850
  
• Peter I. Cowling, Graham Kendall, Eric Soubeiga:
  Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling. 851-860
  
• René Thomsen:
  Evolving the Topology of Hidden Markov Models Using Evolutionary Algorithms. 861-870
  
• Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm:
  Solving a Real World Routing Problem Using Multiple Evolutionary Agents. 871-882
  

Other Bioinspired Algorithms: Cellular Automata, Ant Colony Optimization

• Leonora Bianchi, Luca Maria Gambardella, Marco Dorigo:
  An Ant Colony Optimization Approach to the Probabilistic Traveling Salesman Problem. 883-892
  
• Christian Blum, Michael Sampels:
  When Model Bias Is Stronger than Selection Pressure. 893-902
  
• Mathieu S. Capcarrère:
  Evolution of Asynchronous Cellular Automata. 903-912
  
• Julia Handl, Bernd Meyer:
  Improved Ant-Based Clustering and Sorting. 913-923
  
• Gianluigi Folino, Giandomenico Spezzano:
  An Adaptive Flocking Algorithm for Spatial Clustering. 924-933
  
• Marco Tomassini, Mattias Venzi:
  Evolution of Asynchronous Cellular Automata for the Density Task. 934-944
  

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