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Table of Contents Volume 1 xviii A Word from the Chair of SIGEVO 83 Bias and Scalability in Evolutionary Development Erik D. Goodman T. G. W. Gordon, P. J. Bentley (University College London) xx Papers Nominated for Best Paper Awards 91 Evolutionary Computation and the C-value Paradox S. Luke (George Mason University) xxii GECCO 2005 Organization 99 Automated Assembly as Situated Development: xxiv Reviewers Using Artificial Ontogenies to Evolve Buildable 3-D Objects J. Rieffel, J. Pollack (Brandeis University) Artificial Life, Evolutionary Robotics, 107 Using a Genetic Algorithm to Evolve Behavior and Adaptive Behavior in Multi Dimensional Cellular Automata: 3 Evolutionary Form-Finding of Tensegrity Emergence of Behavior Structures R. Breukelaar (Universiteit Leiden) C. Paul, H. Lipson, F. J. Valero-Cuevas (Cornell University) Th. Bäck (Universiteit Leiden & Nutech Solutions GmbH) 11 Constructing Good Learners using Evolved Pattern 115 Evolving Visually Guided Agents Generators in an Ambiguous Virtual World V. Valsalam (The University of Texas at Austin) E. Schlessinger, P. J. Bentley, R. B. Lotto J. Bednar (The University of Edinburgh) (University College London) R. Miikkulainen (The University of Texas at Austin) 121 Autonomous Navigation System Applied 19 A Study of Evolutionary Robustness to Collective Robotics with Ant-Inspired in Stochastically Tiled Polyominos Communication J. Schonfeld (Iowa State University) R. R. Cazangi, F. J. Von Zuben D. Ashlock (University of Guelph) (LBiC – DCA – FEEC – Unicamp) M. F. Figueiredo (DIN – UEM) 27 Optimization with Constraints using a Cultured Differential Evolution Approach 129 Agent-Based Modelling of Product Invention R. Landa Becerra, C. A. Coello Coello A. Brabazon (University College Dublin) (CINVESTAV-IPN) A. Silva, T. F. de Sousa (Escola Superior de Tecnologia) M. O’Neill (University of Limerick) 35 Predicting Population Dynamics and Evolutionary R. Matthews (Kingston University) Trajectories based on Performance Evaluations in E. Costa (Centro de Universidade de Coimbra) Alife Simulations M. Scheutz, P. Schermerhorn (University of Notre Dame) 137 Validation of Evolutionary Activity Metrics for Long-Term Evolutionary Dynamics 43 The Predictive Basis of Situated and Embodied A. Stout (University of Massachusetts, Amherst) Artificial Intelligence L. Spector (Hampshire College) K. L. Downing (The Norwegian University of Science and Technology) Artificial Life, Evolutionary Robotics, 51 Emergence of Communication in Competitive Multi-Agent Systems: A Pareto Multi-Objective and Adaptive Behavior: Posters Approach 145 Neighboring Crossover to Improve GA-Based M. McPartland (University of New South Wales) Q-Learning Method for Multi-Legged Robot Control S. Nolfi (Institute of Cognitive Science and Technologies) T. Murata, M. Yamaguchi (Kansai University) H. A. Abbass (University of New South Wales) 147 Evolution of Multi-Loop Controllers for Fixed 59 The Impact of Cullular Representation on Finite Morphology with a Cyclic Genetic Algorithm State Agents for Prisoner’s Dilemma G. Parker (Connecticut College) D. Ashlock (University of Guelph) R. Georgescu (Boston University) E.-Y. Kim (Iowa State University) 149 Evolutionary Models for Maternal Effects 67 Multiplex PCR Primer Design for Gene Family in Simulated Developmental Systems Using Genetic Algorithm A. Matos, R. Suzuki, T. Arita (Nagoya University) H.-L. Liang, C. Lee, J.-S. Wu (National Sun Yat-Sen University) Ant Colony Optimization 75 Comparing Multicast and Newscast and Swarm Intelligence Communication in Evolving Agent Societies A. E. Eiben, M. C. Schut, T. Toma (Vrije Universiteit 153 BeeAdHoc: An Energy Efficient Routing Algorithm Amsterdam) for Mobile Ad Hoc Networks Inspired by Bee Behavior H. F. Wedde, M. Farooq, T. Pannenbaecker, B. Vogel, C. Mueller, J. Meth, R. Jeruschkat (University of Dortmund) Volume 1: pages 1–1112 v Volume 2: pages 1113–2246 161 Breeding Swarms: A GA/PSO Hybrid 273 Simulating Swarm Intelligence in Honey Bees: M. Settles, T. Soule (University of Idaho) Foraging in Differently Fluctuating Environments T. Schmickl, R. Thenius, K. Crailsheim 169 Exploring Extended Particle Swarms: (Karl-Franzens University Graz) A Genetic Programming Approach R. Poli, C. Di Chio, W. B. Langdon (University of Essex) 275 A Model Based on Ant Colony System and Rough Set Theory to Feature Selection 177 Improving Particle Swarm Optimization R. Bello (Universidad Central de Las Villas) with Differentially Perturbed Velocity A Nowe (Vrije Universiteit) S. Das, A. Konar (Jadavpur University) Y. Caballero (Universidad de Camagüey) U. K. Chakraborty (University of Missouri) Y. Gómez (Universidad Central de Las Villas) 185 Breeding Swarms: A New Approach P. Vrancx (Vrije Universiteit) to Recurrent Neural Network Training 277 A Modified Particle Swarm Optimization M. Settles, P. Nathan, T. Soule (University of Idaho) Predicted by Velocity 193 Bayesian Optimization Models for Particle Swarms Z. Cui, J. Zeng (University of Science and Technology) C. K. Monson, K. D. Seppi (Brigham Young University) 201 Dynamic-Probabilistic Particle Swarms Artificial Immune Systems J. Kennedy (US Bureau of Labor Statistics) 281 Estimating the Detector Coverage 209 Constrained Optimization via Particle Evolutionary in a Negative Selection Algorithm Swarm Optimization Algorithm (PESO) Z. Ji (St. Jude Children’s Research Hospital) A. E. Muñoz Zavala, A. Hernández-Aguirre, E. R. Villa D. Dasgupta (The University of Memphis) Diharce (Center for Research in Mathematics (CIMAT)) 289 An Artificial Immune Network for Multimodal 217 Evolving Agent Swarms for Clustering Function Optimization on Dynamic Environments and Sorting F. O. de França, F. J. Von Zuben (State University V. Hartmann (The Norwegian University of Science of Campinas) and Technology (NTNU)) L. N. de Castro (Catholic University of Santos) 225 Promising Infeasibility and Multiple Offspring 297 Discriminating and Visualizing Anomalies Using Incorporated to Differential Evolution for Negative Selection and Self-Organizing Maps Constrained Optimization F. A. González, J. C. Galeano, D. A. Rojas, A. Veloza-Suan E. Mezura-Montes, J. Velázquez-Reyes, C. A. Coello Coello (Universidad Nacional de Colombia) (Evolutionary Computation Group (EVOCINV)) 305 Sufficiency Verification of HIV-1 Pathogenesis 233 Scale Invariant Pareto Optimality: A Meta— Based on Multi-Agent Simulation Formalism For Characterizing and Modeling G. Zaiyi, H. H. Kwang, T. J. Cing (Nanyang Cooperativity in Evolutionary Systems Technological University) M. Fleischer (Johns Hopkins University) 313 On the Contribution of Gene Libraries 241 Exposing Origin-Seeking Bias in PSO to Artificial Immune Systems C. K. Monson, K. D. Seppi (Brigham Young University) P. Spellward, T. Kovacs (University of Bristol) 249 Ant Colony Optimization for Power Plant 321 Is Negative Selection Appropriate for Anomaly Maintenance Scheduling Optimization Detection? W. K. Foong, H. R. Maier, A. R. Simpson (The University T. Stibor (Darmstadt University of Technology) of Adelaide) P. Mohr, J. Timmis (University of Kent) C. Eckert (Darmstadt University of Technology) 257 An Effective Use of Crowding Distance in Multiobjective Particle Swarm Optimization 329 Artificial Immune System for Solving Generalized C. R. Raquel (University of the Philippines-Baguio) Geometric Problems: a Preliminary Results P. C. Naval, Jr. (University of the Phillippines - Dilliman) J.-Y. Wu, Y.-K. Chung (Yuan Ze University) 337 An Evolutionary Algorithm to Generate Ant Colony Optimization and Swarm Hyper-Ellipsoid Detectors for Negative Selection Intelligence: Posters J. M. Shaprio, G. B. Lamont, G. L. Peterson (Air Force Institute of Technology) 267 MeSwarm: Memetic Particle Swarm Optimization B.-F. Liu, H.-M. Chen (Feng Chia University) 345 Applying both Positive and Negative Selection J.-H. Chen (Academia Sinica) to Supervised Learning for Anomaly Detection S.-F. Hwang (Feng Chia University) X. Hang, H. Dai (Deakin University) S.-Y. Ho (National Chiao Tung University) 353 The Application of Antigenic Search Techniques 269 Factors Governing The Behavior of Multiple to Time Series Forecasting Cooperating Swarms I. Nunn, T. White (Carleton University) M. El-Abd, M. Kamel (University of Waterloo) 361 A Comparative Analysis of Artificial Immune 271 Solving Geometric TSP with Ants Network Models T. N. Bui, M. Colpan (The Pennsylvania State University) J. C. Galeano, A. Veloza-Suan, F. A. González (Universidad Nacional de Colombia) Volume 1: pages 1–1112 vi Volume 2: pages 1113–2246 Artificial Immune Systems: Posters 453 Extraction of Informative Genes from Microarray Data 371 RABNET: A Real-Valued Antibody Network T. K. Paul, H. Iba (The University of Tokyo) for Data Clustering H. Knidel (LBiC/DCA/FEEC/UNICAMP) 461 Epileptic Seizure Detection by Means of Genetically L. N. de Castro (Unisantos) Programmed Artificial Features F. J. Von Zuben (LBiC/DCA/FEEC/UNICAMP) H. Firpi, E. Goodman (Michigan State University) J. Echauz (BioQuantix Corporation) 373 Performance Assessment of an Artificial Immune System Multiobjective Optimizer by Two Improved Metrics Biological Applications: Posters M. Gong, L. Jiao (Xidian University) 469 Identifying Valid Solutions for the Inference H. Du (Xi’an Jiaotong University) of Regulatory Networks R. Shang, B. Lu (Xidian University) C. Spieth, F. Streichert, N. Speer, A. Zell (University of Tübingen) Biological Applications 471 Evolving an Improved Axial Structure 377 A Hybrid Genetic Algorithm with Pattern Search for Fibrillar Collagen for Finding Heavy Atoms in Protein Crystals D. E. Cairns, G. J. Cameron (University of Stirling) J. L. Payne, M. J. Eppstein (University of Vermont) T. J. Wess (Cardiff University) 385 An Efficient Genetic Algorithm for Predicting 473 GA-based Approach to Discover Meaningful Protein Tertiary Structures in the 2D HP Model Biclusters T. N. Bui, G. Sundarraj (The Pennsylvania State University) J. S. Aguilar-Ruiz (University of Seville) F. Divina (University of Tilburg) 393 A Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene 475 Primer Design for Multiplex PCR Using Regulatory Network Models a Genetic Algorithm P. Koduru, S. Das, S. Welch, J. L. Roe, Z. P. Lopez-Dee F.-M. Lin (National Central University) (Kansas State University) H.-D. Huang, H.-Y. Huang (National Chiao Tung University) 401 Discovering Biological Motifs With Genetic J.-T. Horng (National Central University) Programming: Comparing linear and tree-based representations for unaligned protein sequences 477 A Multiple Objective Evolutionary Algorithm R. Seehuus, A. Tveit, O. Edsberg (Norwegian University for Multiple Sequence Alignment of Science and Technology) P. Seeluangsawat, P. Chongstitvatana (Chulalongkorn University) 409 Using Evolutionary Computation Methods to Support Analytical Models for the Evolution 479 The Impact of Pseudorandom Number Quality and Maintenance of Conditional Strategies on P-RnaPredict, a Parallel Genetic Algorithm in Chthamalus anisopoma for RNA Secondary Structure Prediction G. C. Townsend, W. N. Hazel, R. Smock K. C. Wiese, A. Hendriks, A. Deschênes, B. B. Youssef (DePauw University) (Simon Fraser University) 415 A GA for Maximum Likelihood Phylogenetic Inference using Neighbour-Joining as a Genotype Coevolution to Phenotype Mapping 483 The MaxSolve Algorithm for Coevolution L. Poladian (University of Sydney) E. de Jong (Utrecht University) 423 A Multi-Objective Evolutionary Approach 491 Co-Evolving Recurrent Neurons Learn Deep to Peptide Structure Redesign and Stabilization Memory POMDPs T. Hohm (Stiftung caesar) F. J. Gomez (IDSIA) D. Hoffmann (Bingen University of Applied Sciences) J. Schmidhuber (IDSIA, TU Munich) 431 Particle Swarm Optimization for Analysis of Mass 499 Monotonic Solution Concepts in Coevolution Spectral Serum Profiles S. G. Ficici (Brandeis University) H. Ressom, R. S. Varghese, D. Saha, E. Orvisky, L. Goldman (Georgetown University) 507 Understanding Cooperative Co-evolutionary E. F. Petricoin (NIH), T. P. Conrads, T. D. Veenstra (NCI) Dynamics via Simple Fitness Landscapes M. Abdel-Hamid (Viral Hepatitis Research Laboratory, E. Popovici, K. De Jong (George Mason University) NHTMRI) 515 Intransitivity Revisited Coevolutionary C. A. Loffredo, R. Goldman (Georgetown University) Dynamics of Numbers Games 439 Inference of Gene Regulatory Networks P. Funes (Icosystem Corporation) Using S-system and Differential Evolution E. Pujals (Instituto de Matematica Pura e Aplicada (IMPA)) N. Noman, H. Iba (The University of Tokyo) 523 Investigating the Success of Spatial Coevolution 447 MDGA: Motif Discovery Using A Genetic Algorithm N. Williams (Veriwave, Inc.) D. Che, Y. Song, K. Rasheed (University of Georgia) M. Mitchell (Portland State University) Volume 1: pages 1–1112 vii Volume 2: pages 1113–2246 531 ‘Managed Challenge’ Alleviates Disengagement 621 Solving Large Scale Combinatorial Optimization in Co-evolutionary System Identification Using PMA-SLS J. C. Bongard, H. Lipson (Cornell University) J. Tang, M. H. Lim, Y. S. Ong, M. J. Er (Nanyang Technological University) 539 On Identifying Global Optima in Cooperative Coevolution 629 An Evolutionary Lagrangian Method for the 0/1 A. Bucci, J. B. Pollack (Brandeis University) Multiple Knapsack Problem Y. Yoon, Y.-H. Kim, B.-R. Moon (Seoul National 545 Tracking Extrema in Dynamic Environments University) using a Coevolutionary Agent-based Model of Genotype Edition 637 Hyper-heuristics and Classifier Systems C.-F. Huang (Los Alamos National Laboratory) for Solving 2D-Regular Cutting Stock Problems L. M. Rocha (Indiana University) H. Terashima-Marín, E. J. Flores-Álvarez (ITESM-Center for Intelligent Systems) Coevolution: Posters P. Ross (Napier University) 555 The Emulation of Social Institutions as a Method of Coevolution Evolutionary Combinatorial D. V. Duong (Object Sciences Corporation) Optimization: Posters J. Grefenstette (George Mason University) 647 Water Distribution Systems Optimal Design 557 Shape Nesting by Coevolving Species Using Cross Entropy J. Horn (Northern Michigan University) L. Perelman, A. Ostfeld (Technion-Israel Institute of Technology) 559 Intrinsic Emergence Boosts Adaptive Capacity C. Philemotte, H. Bersini (Université Libre de Bruxelles) 649 A Hybrid Evolutionary Algorithm for the p-Median Problem I. Borgulya (University of Pécs) Evolutionary Combinatorial Optimization 651 Harmony Search for Structural Design 563 Evolutionary Algorithms for the Self-Organized Z. W. Geem (Johns Hopkins University) Evolution of Networks K. S. Lee (Hanyang University) K. A. Lehmann, M. Kaufmann (University Tübingen) C.-L. Tseng (University of Missouri) 571 On the Analysis of the Approximation Capability of Simple Evolutionary Algorithms for Scheduling Estimation of Distribution Algorithms Problems C. Gunia (University of Freiburg) 655 Extracted Global Structure Makes Local Building Block Processing Effective in XCS 579 Maximally Rugged NK Landscapes M. V. Butz (University of Würzburg) Contain the Highest Peaks M. Pelikan (University of Missouri at St. Louis) B. Skellett, B. Cairns, N. Geard (The University X. Llorà, D. E. Goldberg (University of Illinois of Queensland) at Urbana-Champaign) B. Tonkes (The University of New South Wales) J. Wiles (The University of Queensland) 663 Multiobjective hBOA, Clustering, and Scalability M. Pelikan (University of Missouri at St. Louis) 585 The Blob Code is Competitive with Edge-Sets K. Sastry, D. E. Goldberg (University of Illinois in Genetic Algorithms for the Minimum Routing at Urbana-Champaign) Cost Spanning Tree Problem B. A. Julstrom (St. Cloud State University) 671 Sub-Structural Niching in Estimation of Distribution Algorithms 591 Coordinating Multi-Rover Systems: Evaluation K. Sastry (University of Illinois at Urbana-Champaign) Functions for Dynamic and Noisy Environments H. A. Abbass (University of New South Wales) K. Tumer (NASA Ames Research Center) D. E. Goldberg, D. D. Johnson (University of Illinois A. Agogino (University of California at Santa Cruz, NASA at Urbana-Champaign) Ames Research Center) 679 Not All Linear Functions Are Equally Difficult 599 Transition Models as an Incremental Approach for the Compact Genetic Algorithm for Problem Solving in Evolutionary Algorithms S. Droste (Universität Dortmund) A. Defaweux (Vrije Universiteit Brussel) T. Lenaerts (Université Libre de Bruxelles) 687 Learned Mutation Strategies in Genetic J. van Hemert (Napier University) Programming for Evolution and Adaptation of Simulated Snakebot 607 Greedy, Genetic, and Greedy Genetic Algorithms I. Tanev (Doshisha University) for the Quadratic Knapsack Problem B. A. Julstrom (St. Cloud State University) 695 On the Convergence of an Estimation of Distribution Algorithm Based on Linkage 615 Towards a Self-Stopping Evolutionary Algorithm Discovery and Factorization Using Coupling From The Past A. H. Wright, S. V. P. M. S. Pulavarty (University G. Hernandez (National University of Colombia) of Montana) K. Wilder (The University of Chicago) F. Nino, J. Garcia (National University of Colombia) Volume 1: pages 1–1112 viii Volume 2: pages 1113–2246 703 Real-coded Crossover as a Role of Kernel 779 Fitness Inheritance For Noisy Evolutionary Density Estimation Multi-Objective Optimization J. Sakuma, S. Kobayashi (Tokyo Institute of Technology) L. T. Bui, H. A. Abbass, D. Essam (University of New South Wales) 711 Population-Based Incremental Learning with Memory Scheme for Changing Environments 787 Comparison of Evolutionary Multiobjective S. Yang (University of Leicester) Optimization with Reference Solution-Based Single- Objective Approach 719 On the Importance of Diversity Maintenance H. Ishibuchi, K. Narukawa (Osaka Prefecture University) in Estimation of Distribution Algorithms B. Yuan, M. Gallagher (The University of Queensland) 795 Evolving Optimal Feature Extraction using Multi-objective Genetic Programming: A 727 Using a Markov Network Model in a Univariate Methodology and Preliminary Study on Edge EDA: An Empirical Cost-Benefit Analysis Detection S. Shakya, J. McCall, D. Brown (The Robert Gordon Y. Zhang, P. I. Rockett (University of Sheffield) University) 803 Minimizing Total Flowtime and Maximum Earliness 735 Combining Competent Crossover and Mutation on a Single Machine Using Multiple Measures Operators: a Probabilistic Model Building of Fitness Approach M. E. Kurz, S. Canterbury (Clemson University) C. F. Lima (University of Algarve) K. Sastry, D. E. Goldberg (University of Illinois 811 A Scalable Parallel Genetic Algorithm for X-ray at Urbana-Champaign) Spectroscopic Analysis F. G. Lobo (University of Algarve) K. Xu, S. J. Louis, R. C. Mancini (University of Nevada, Reno) 817 An Empirical Study on the Handling of Overlapping Estimation of Distribution Solutions in Evolutionary Multiobjective Optimization Algorithms: Posters H. Ishibuchi, K. Narukawa, Y. Nojima (Osaka Prefecture University) 745 Genetic Drift in Univariate Marginal Distribution Algorithm Y. Hong, Q. Ren, J. Zeng (Shanghai Jiaotong University) Evolutionary Multiobjective 747 Learning Computer Programs with the Bayesian Optimization: Posters Optimization Algorithm 827 Using Predators and Preys in Evolution Strategies M. Looks (Object Sciences Corporation) K. Schmitt, J. Mehnen, T. Michelitsch (University of B. Goertzel, C. Pennachin (Novamente LLC) Dortmund) 749 Multiobjective Shape Optimization with Constraints 829 The Effectiveness of Multiobjective Optimizer based on Estimation Distribution Algorithms and in Single-objective Optimization Environment Correlated Information S. Watanabe, K. Sakakibara (Ritsumeikan University) S. I. Valdez Peña, S. Botello-Rionda, A. Hernández Aguirre (Center for Research in Mathematics (CIMAT)) Evolutionary Strategies and Evolutionary 751 A Comparative Study of Probability Collectives Programming Based Multi-agent Systems and Genetic Algorithms 833 On the Impact of Objective Function Transformations C.-F. Huang (Los Alamos National Laboratories) on Evolutionary and Black-Box Algorithms S. Bieniawski (Stanford University) T. Storch (University of Dortmund) D. H. Wolpert (NASA Ames Research Center) 841 Theoretical Analysis of a Mutation-Based C. E. M. Strauss (Los Alamos National Laboratories) Evolutionary Algorithm for a Tracking Problem in the Lattice Evolutionary Multiobjective Optimization T. Jansen, U. Schellbach (Universität Dortmund) 755 Exploiting Gradient Information in Numerical 849 Rigorous Runtime Analysis of a (µ+1) ES Multi-Objective Evolutionary Optimization for the Sphere Function P. A. N. Bosman (Centre for Mathematics J. Jägersküpper, C. Witt (University of Dortmund) and Computer Science) 857 Local and Global Order 3/2 Convergence E. D. de Jong (Utrecht University) of a Surrogate Evolutionary Algorithm 763 Minimum Spanning Trees Made Easier A. Auger (Institute of Technology ETH) Via Multi-Objective Optimization M. Schoenauer, O. Teytaud (Université Paris-Sud) F. Neumann (Christian-Albrechts-University zu Kiel) 865 Counteracting Genetic Drift and Disruptive I. Wegener (University Dortmund) Recombination in (µ+,λ)-EA on Multimodal Fitness 771 A Multi-Objective Genetiic Algorithm Landscapes for Robust Design Optimization M. Preuss, L. Schönemann (University of Dortmund) M. Li, S. Azarm, V. Aute (University of Maryland) M. Emmerich (Leiden Institute for Advanced Computer Science (LIACS)) Volume 1: pages 1–1112 ix Volume 2: pages 1113–2246 873 Efficient Differential Evolution using Speciation Meta-heuristics and Local Search for Multimodal Function Optimization X. Li (RMIT University) 967 Enhancing Differential Evolution Performance with Local Search for High Dimensional Function 881 A Differential Evolution Based Incremental Training Optimization Method for RBF Networks N. Noman, H. Iba (The University of Tokyo) J. Liu, J. Lampinen (Lappeenranta University of Technology) 975 The Enhanced Evolutionary Tabu Search and Its 889 Simple Addition of Ranking Method for Constrained Application to the Quadratic Assignment Problem Optimization in Evolutionary Algorithms J. F. McLoughlin III (Penn State Great Valley) P. Y. Ho, K. Shimizu (Kyushu Institute of Technology) W. Cedeño (Johnson & Johnson Pharmaceutical R&D) 897 Morphing Methods in Evolutionary Design 983 Evolutionary Rule-Based System for IPO Optimization Underpricing Prediction M. Nashvili (University of Birmingham) D. Quintana, C. Luque, P. Isasi (Universidad Carlos III) M. Olhofer, B. Sendhoff (Honda Research Institute Europe GmbH) 991 Two Improved Differential Evolution Schemes for Faster Global Search 905 Evolutionary Strategies for Multi-Scale Radial Basis S. Das, A. Konar (Jadavpur University) Function Kernels in Support Vector Machines U. K. Chakraborty (University of Missouri) T. Phienthrakul, B. Kijsirikul (Chulalongkorn University) 999 A Low-Level Hybridization between Memetic Algorithm and VNS for the Max-Cut Problem Evolutionary Strategies and Evolutionary A. Duarte, Á. Sánchez (ESCET-URJC) Programming: Posters F. Fernández (FI-UPM) 915 Niching in Evolution Strategies R. Cabido (ESCET-URJC) O. M. Shir, T. Bäck (Universiteit Leiden) 917 A Mutation Operator for Evolution Strategies Meta-heuristics and Local Search: Poster to Handle Constrained Problems 1009 Hybrid Multiobjective Genetic Algorithm O. Kramer, C.-K. Ting, H. K. Büning (University with a New Adaptive Local Search Process of Paderborn) S. F. Adra, I. Griffin, P. J. Fleming (University of Sheffield) 919 Using Gene Deletion and Gene Duplication in Evolution Strategies Search-based Software Engineering K. Schmitt (University of Dortmund) 1013 Evolutionary Testing of State-Based Programs 921 Comparative Evaluation of Parallelization Strategies P. McMinn, M. Holcombe (University of Sheffield) for Evolutionary and Stochastic Heuristics 1021 Stress Testing Real-Time Systems with Genetic S. M. Sait, S. Sanaullah, A. M. Zaidi, M. I. Ali Algorithms (King Fahd University of Petroleum & Minerals) L. C. Briand, Y. Labiche, M. Shousha (Carleton University) 923 Optimal Number of Evolution Strategies 1029 An Empirical Study of the Robustness Mutation Step Sizes in Dynamic Environments of Two Module Clustering Fitness Functions L. Schönemann (University of Dortmund) M. Harman (King’s College) S. Swift (Brunel University) Evolutionary Hardware K. Mahdavi (King’s College) 927 Evolutionary Computation Applied 1037 Improving Network Applications Security: to the Tuning of MEMS Gyroscopes a New Heuristic to Generate Stress Testing Data D. Keymeulen, W. Fink, M. I. Ferguson, C. Peay, B. Oks, C. Del Grosso, G. Antoniol, M. Di Penta (University R. Terrile, K. Yee (California Institute of Technology) of Sannio) P. Galinier, E. Merlo (École Polytechnique de Montréal) 933 Evolving Analog Controllers for Correcting Thermoacoustic Instability in Real Hardware 1045 Search-based Improvement of Subsystem S. A. Vigraham, J. C. Gallagher, S. K. Boddhu Decompositions (Wright State University) O. Seng, M. Bauer, M. Biehl, G. Pache (FZI Forschungszentrum Informatik) 941 Multiple-Level Concatenated Coding in Embryonics: A Dependability Analysis 1053 Using Evolutionary Algorithms for the Unit L. Prodan, M. Udrescu, M. Vladutiu Testing of Object-Oriented Software (‘Politehnica’ University of Timisoara) S. Wappler, F. Lammermann (DaimlerChrysler AG) 949 A Hardware Pipeline for Function Optimization 1061 Search-Based Mutation Testing for Simulink using Genetic Algorithms Models M. K. Pakhira (Kalyani Government Engineering College) Y. Zhan, J. A. Clark (University of York) R. K. De (Indian Statistical Institute) 1069 An Approach for QoS-aware Service Composition 957 Toward Evolved Flight based on Genetic Algorithms R. Hunt, G. S. Hornby, J. D. Lohn G. Canfora, M. Di Penta, R. Esposito, M. L. Villani (NASA Ames Research Center) (University of Sannio) Volume 1: pages 1–1112 x Volume 2: pages 1113–2246 Search-based Software Engineering: Posters 1083 Benefits of Software Measures for Evolutionary White-Box Testing 1079 Hybridizing Evolutionary Algorithms and F. Lammermann, S. Wappler (DaimlerChrysler AG) Clustering Algorithms to Find Source-Code Clones A. Sutton, H. Kagdi, J. I. Maletic, L. G. Volkert (Kent State 1085 GA-Based Parameter Tuning for Multi-Agent University) Systems J. Haas, M. Peysakhov, S. Mancoridis (Drexel University) 1081 Generating Feasible Input Sequences for Extended Finite State Machines (EFSMs) using Genetic Algorithms 1087 Author Index K. Derderian, R. M. Hierons (Brunel University) M. Harman (King’s College) 1092 Subject-Keyword Index Q. Guo (Brunel University) Volume 2 xviii A Word from the Chair of SIGEVO 1193 A Genetic Algorithm Encoding for a Class Erik D. Goodman of Cardinality Constraints H. J. C. Barbosa (Laboratório Nacional de Computação xx Papers Nominated for Best Paper Awards Científica) A. C. C. Lemonge (Universidade Federal de Juiz de Fora) xxii GECCO 2005 Organization 1201 On the Complexity of Hierarchical Problem Solving xxiv Reviewers E. D. de Jong (Utrecht University) R. A. Watson (University of Southampton) D. Thierens (Utrecht University) Genetic Algorithms 1209 Measuring Mobility and the Performance 1115 Memory-Based Immigrants for Genetic Algorithms of Global Search Algorithms in Dynamic Environments M. Lunacek, D. Whitley, J. N. Knight (Colorado State S. Yang (University of Leicester) University) 1123 Advanced Models of Cellular Genetic Algorithms 1217 Linkage Learning, Ovelapping Building Blocks, Evaluated on SAT and Systematic Strategy for Scalable E. Alba (University of Málaga) Recombination H. Alfonso (National University of La Pampa) T.-L. Yu, K. Sastry, D. E. Goldberg (University of Illinois B. Dorronsoro (University of Málaga) at Urbana-Champaign) 1131 Unbiased Tournament Selection 1225 Automatic Feature Selection in Neuroevolution A. Sololov, D. Whitley (Colorado State University) S. Whiteson, P. Stone, K. O. Stanley, R. Miikkulainen, 1139 Feature Influence for Evolutionary Learning N. Kohl (University of Texas at Austin) R. Giráldez, J. S. Aguilar–Ruiz (University of Seville) 1233 EA Models and Population Fixed-Points Versus Mutation Rates for Functions of Unitation 1147 On the Stationary Distribution of GAs with Fixed J. N. Richter, J. Paxton (Montana State University) Crossover Probability A. Wright (University of Montana-Missoula) U. C. de Silva, J. Suzuki (Osaka University) 1241 Phase Transition in a Random NK Landscape 1153 A Theoretical Analysis of the HIFF Problem Model N. F. McPhee, E. F. Crane (University of Minnesota) S.-S. Choi (Seoul National University) 1161 Crossover is Probably Essential K. Jung (Massachusetts Institute of Technology) for the Ising Model on Trees J. H. Kim (Microsoft Research) D. Sudholt (Universität Dortmund) 1249 Behavior of Finite Population Variable Length 1169 Computing the Epistasis Variance Genetic Algorithms Under Random Selection of Large-Scale Traveling Salesman Problems H. Stringer, A. S. Wu (University of Central Florida) D.-I. Seo, B.-R. Moon (Seoul National University) 1257 Improvements to Penalty-Based Evolutionary 1177 On Favoring Positive Correlations between Algorithms for the Multi-Dimensional Knapsack Form and Quality of Candidate Solutions via Problem Using a Gene-Based Adaptive Mutation the Emergence of Genomic Self-Similarity Approach I. Garibay, A. S. Wu, O. Garibay (University of Central Ş. Uyar, G. Eryiğit (Istanbul Technical University) Florida) 1265 Statistical Analysis of Heuristics for Evolving Sorting Networks 1185 Improving GA Search Reliability Using Maximal L. Graham, H. Masum, F. Oppacher (Carleton University) Hyper-Rectangle Analysis C. Zhang, K. Rasheed (University of Georgia) 1271 Fitness Uniform Deletion: A Simple Way to Preserve Diversity S. Legg, M. Hutter (IDSIA) Volume 1: pages 1–1112 xi Volume 2: pages 1113–2246 1279 Designing Resilient Networks Using a Hybrid 1401 Schema Disruption in Tree-Structured Genetic Algorithm Approach Chromosomes A. Konak (Penn State Berks) W. A. Greene (University of New Orleans) A. E. Smith (Auburn University) 1409 Some Theoretical Results About the Computation 1287 Information Landscapes and the Analysis Time of Evolutionary Algorithms of Search Algorithms L. Ding (Wuhan University) B. Yossi, R. Poli (University of Essex) J. Yu (Chinese Academy of Sciences) 1295 The Influence of Migration Sizes and Intervals 1417 Adaptive Isolation Model using Data Clustering for on Island Models Multimodal Function Optimization Z. Skolicki, K. De Jong (George Mason University) S. Ando (Yokohama National University) J. Sakuma, S. Kobayashi (Tokyo Institute of Technology) 1303 Walsh Transforms, Balanced Sum Theorems and Partition Coefficients over Multary Alphabets 1425 Information Landscapes and Problem Hardness M. T. Iglesias (Universidade da Coruña) Y. Borenstein, R. Poli (University of Essex) B. Naudts, A. Verschoren (Universiteit Antwerpen) 1433 Towards an Analysis of Dynamic Environments C. Vidal (Universidade da Coruña) J. Branke (University of Karlsruhe) 1309 Efficient Credit Assignment through Evaluation E. Salihoğlu, Ş. Uyar (Istanbul Technical University) Function Decomposition 1441 Multi-level Genetic Algorithm (MLGA) for the A. Agogino (University of California at Santa Cruz) Construction of Clock Binary Tree K. Tumer (NASA Ames Research Center) N. Guofang, L. Minqiang, K. Jisong (Tianjin University) R. Miikkulainen (University of Texas at Austin) 1447 Parallel Genetic Algorithms on Line Topology 1317 Preservation of Genetic Redundancy in The of Heterogeneous Computing Resources Existence of Developmental Error and Fitness Y. Gong, M. Nakamura, S. Tamaki (University of the Assignment Error Ryukyus) A. S. Yilmaz, A. S. Wu (University of Central Florida) 1455 Quality-Time Analysis of Multi-Objective 1325 From Supervised Ranking to Evoloving Behaviours Evolutionary Algorithms of A Robotic Team J.-H. Chen (Academia Sinica) K. W. Tang, R. A. Jarvis (Monash University) S.-Y. Ho (National Chiao Tung University) 1333 Takeover Time Curves in Random and Small-World D. E. Goldberg (University of Illinois at Urbana-Champaign) Structured Populations 1463 Terrain Generation Using Genetic Algorithms M. Giacobini, M. Tomassini (University of Lausanne) T. J. Ong, R. Saunders, J. Keyser, J. J. Leggett A. Tettamanzi (University of Milano) (Texas A&M University) 1341 Genetic Algorithms using Low-Discrepancy 1471 Improving EAX with Restricted 2-opt Sequences C.-h. Chan, S.-A. Lee, C.-Y. Kao (National Taiwan S. Kimura, K. Matsumura (Tottori University) University) 1347 Latent Variable Crossover for k-tablet Structures H.-K. Tsai (Academia Sinica) and its Application to Lens Design Problems 1477 Application of Genetic Algorithm to Optimize J. Sakuma, S. Kobayashi (Tokyo Institute of Technology) Burnable Poison Placement in Pressurized Water 1355 Pricing the ‘Free Lunch’ of Meta-Evolution Reactors A. V. Samsonovich, K. A. De Jong (George Mason S. Yilmaz, K. Ivanov, S. Levine (Pennsylvania State University) University) 1363 Combating User Fatigue in iGAs: Partial Ordering, 1485 A Comparison Study between Genetic Algorithms Support Vector Machines, and Synthetic Fitness and Bayesian Optimize Algorithms by Novel X. Llorà, K. Sastry, D. E. Goldberg, A. Gupta, L. Lakshmi Indices (University of Illinois at Urbana-Champaign) N. Mori, M. Takeda, K. Matsumoto (Osaka Prefecture University) 1371 Applying Price’s Equation to Survival Selection J. K. Bassett (George Mason University) 1493 The Problem with a Self-Adaptive Mutation Rate M. A. Potter (Naval Research Laboratory) in Some Environments: A Case Study using the K. A. De Jong (George Mason University) Shaky Ladder Hyperplane-Defined Functions W. Rand, R. Riolo (University of Michigan) 1379 Evolving Neural Network Ensembles for Control Problems 1501 Flight Midcourse Guidance Control Based D. Pardoe, M. Ryoo, R. Miikkulainen (The University on Genetic Algorithm of Texas at Austin) Z.-h. Yang, J.-c. Fang (Beijing University of Aeronautics and Astronautics) 1385 Evolution of Voronoi based Fuzzy Recurrent Z.-q. Qi (Beijing Aerospace Automatic Control Institute) Controllers C. Kavka, P. Roggero (Universidad Nac. De San Luis) 1507 Subproblem Optimization by Gene Correlation M. Schoenauer (Université de Paris Sud) with Singular Value Decomposition J. G. Martin (University of Georgia) 1393 New Topologies for Genetic Search Space Y.-H. Kim, B.-R. Moon (Seoul National University) Volume 1: pages 1–1112 xii Volume 2: pages 1113–2246 1515 Information Landscapes 1571 Fractional Dynamic Fitness Functions Y. Borenstein, R. Poli (University of Essex) for GA-based Circuit Design C. Reis, J. A. Tenreiro Machado (Polytechnic Institute 1523 A Genetic Algorithm for Unmanned Aerial of Porto Porto) Vehicle Routing J. B. Cunha (University of Trás-os-Montes Alto Douro) M. A. Russell, G. B. Lamont (Air Force Institute of Technology WPAFB) 1573 Fitness-based Neighbor Selection for Multimodal Function Optimization 1531 Intelligent Exploration for Genetic Algorithms S. Ando (Yokohama National University) Using Self-Organizing Maps in Evolutionary S. Kobayashi (Tokyo Institute of Technology) Computation H. B. Amor, A. Rettinger (Universität Koblenz-Landau) 1575 Adaptive Sizing of Populations and Number of Islands in Distributed Genetic Algorithms 1539 An Adaptive Pursuit Strategy for Allocating J. Berntsson, M. Tang (Queensland University of Operator Probabilities Technology) D. Thierens (Utrecht University) 1577 Adaptive Crossover and Mutation in Genetic Algorithms Based on Clustering Technique Genetic Algorithms: Posters J. Zhang (SUN Yat-sen University) 1549 GA-Facilitated Classifier Optimization H. S. H. Chung (City University of Hong Kong) with Varying Similarity Measures J. Zhong (SUN Yat-sen University) M. R. Peterson, T. E. Doom, M. L. Raymer 1579 Dynamic Optimization of Migration Topology (Wright State University) in Internet-based Distributed Genetic Algorithms 1551 Genetic Programming for Association Rules J. Berntsson, M. Tang (Queensland University of on Card Sorting Data Technology) M. Lyman, G. Lewandowski (Xavier University) 1581 Normalization for Neural Network in Genetic Search 1553 An Extension of Vose’s Markov Chain Model J.-H. Kim, S.-S. Choi, B.-R. Moon (Seoul National for Genetic Algorithms University) A. Paszynska (Jagiellonian University) 1583 On the Practical Genetic Algorithms 1555 Multi-Niche Crowding in the Development C. W. Ahn (Samsung Advanced Institute of Technology) of Parallel Genetic Simulated Annealing S. Oh, R. S. Ramakrishna (Gwangju Institute of Science and Z.-G. Wang, M. Rahman, Y.-S. Wong (National University Technology) of Singapore) 1585 Multiobjective VLSI Cell Placement using 1557 Diversity As a Selection Pressure in Dynamic Distributed Genetic Algorithm Environments S. M. Sait, M. Faheemuddin, M. R. Minhas, S. Sanaullah L. T. Bui (University of New South Wales) (King Fahd University of Petroleum and Minerals) J. Branke (University of Karlsruhe) H. A. Abbass (University of New South Wales) 1587 Knowledge Insertion: An Efficient Approach to Reduce Effort in Simple Genetic Algorithms for 1559 Search Space Modulation in Genetic Algorithms: Unrestricted Parallel Equal Machines Scheduling Evolving the Search Space by Sinusoidal E. Ferretti, S. Esquivel (Universidad Nacional de San Luis) Transformations J. A. Martin H. (Instituto de Automática Industrial) 1589 Alternative Implementations of The Griewangk Function 1561 Evolutionary Change in Developmental Timing A. Sokolov, D. Whitley, M. Lunacek (Colorado State K. Ohnishi, K. Yoshida (Kyushu Institute of Technology) University) 1563 Hybrid Real-Coded Mutation for Genetic 1591 Analysis and Mathematical Justification of a Fitness Algorithms Applied to Graph Layouts Function used in an Intrusion Detection System D. Vrajitoru, J. DeBoni (Indiana University at South Bend) P. A. Diaz-Gomez (Universidad El Bosque) D. F. Hougen (University of Oklahoma) 1565 Conformation of an Ideal Bucky Ball Molecule by Genetic Algorithm and Geometric Constraint 1593 A Comparison of Messy GA and Permutation based from Pair Distance Data GA for Job Shop Scheduling D. M. Cherba, W. Punch, P. Duxbury, S. Billinge, P. Juhas P. Fenton, P. Walsh (Cork Institute of Technology) (Michigan State University) 1595 Goal-Oriented Preservation of Essential Genetic 1567 Inexact Pattern Matching using Genetic Algorithm Information by Offspring Selection S. Auwatanamongkol (National Institute of Development M. Affenzeller, S. Wagner, S. Winkler (Johannes Kepler Administration) University) 1569 Directional Self-Learning of Genetic Algorithm 1597 ARGEN + AREPO: Mixing the Artificial Genetic L. Cong, Y. Sha, L. Jiao, F. Liu (Xidian University) Engineering and Artificial Evolution of Populations to Improve the Search Process A. León-Barranco, S. E. Barajas, C. A. Reyes (Instituto Nacional de Astrofísica Óptica y Electrónica (INAOE)) Volume 1: pages 1–1112 xiii Volume 2: pages 1113–2246 1599 A Genetic Algorithm for Optimized Reconstruction 1705 Genetic Network Programming with Automatically of Quantized One-dimensional Signals Defined Groups for Assigning Proper Roles to F. W. Moore (University of Alaska Anchorage) Multiple Agents T. Murata (Kansai University) 1601 Isolating the Benefits of Respect T. Nakamura (Kansai University Graduate School) S. Chen, G. Pitt (York University) 1713 Probing for Limits to Building Block Mixing with a Tunably-Difficult Problem for Genetic Genetic Programming Programming 1605 Exploiting Disruption Aversion to Control Bloat J. M. Daida, M. E. Samples, M. J. Byom (The University J. Stevens, R. B. Heckendorn, T. Soule (University of Idaho) of Michigan) 1613 Finding Needles in Haystacks is Harder 1721 Evolving Cooperative Strategies for UAV Teams with Neutrality M. D. Richards, D. Whitley, J. R. Beveridge M. Collins (Edinburgh University) (Colorado State University) T. Mytkowicz (University of Colorado) 1619 Open-ended Robust Design of Analog Filters D. Nguyen, D. Rome (Raytheon/IIS/Space Systems) Using Genetic Programming J. Hu (Purdue University) 1729 Measuring, Enabling and Comparing Modularity, X. Zhong (Huzhang University of Sciences & Technology) Regularity and Hierarchy in Evolutionary Design E. D. Goodman (Michigan State University) G. S. Hornby (NASA Ames Research Center) 1627 Towards Identifying Populations that Increase 1737 Evolving Fuzzy Decision Tree Structure the Likelihood of Success in Genetic that Adapts in Real-Time Programming J. F. Smith III (Naval Research Laboratory) J. M. Daida (The University of Michigan) 1745 Dormant Program Nodes and the Efficiency of Genetic Programming 1635 Total Synthesis of Algorithmic Chemistries D. Jackson (University of Liverpool) C. W. G. Lasarczyk (University of Dortmund) W. Banzhaf (Memorial University of Newfoundland) 1753 Multi-Chromosomal Genetic Programming R. Cavill, S. Smith, A. Tyrrell (University of York) 1641 Multipopulation Cooperative Coevelutionary Programming (MCCP) to Enhance Design 1761 Molecular Programming: Evolving Genetic Innovation Programs in a Test Tube E. M. Zechman, S. R. Ranjithan (North Carolina State B.-T. Zhang, H.-Y. Jang (Seoul National University) University) 1649 Investigating the Performance of Module Genetic Programming: Posters Acquisition in Cartesian Genetic Programming 1771 Function Choice, Resiliency and Growth J. A. Walker, J. F. Miller (University of York) in Genetic Programming 1657 Evolution of a Human-Competitive Quantum S. Besetti, T. Soule (University of Idaho) Fourier Transform Algorithm Using Genetic 1773 Evaluating GP Schema in Context Programming H. Majeed, C. Ryan, R. M. A. Azad (University of Limerick) P. Massey, J. A. Clark, S. Stepney (University of York) 1775 Probabilistic Distribution Models 1665 meta-Grammar Constant Creation with for EDA-based GP Grammatical Evolution by Grammatical K. Yanai, H. Iba (The University of Tokyo) Evolution 1777 Backward-chaining Genetic Programming I. Dempsey, M. O’Neill (University of Limerick) R. Poli, W. B. Langdon (University of Essex) A. Brabazon (University College Dublin) 1779 Preventing Overfitting in GP with Canary Functions 1673 Resource-Limited Genetic Programming: N. Foreman (Altarum Institute) The Dynamic Approach M. Evett (Eastern Michigan University) S. Silva, E. Costa (University of Coimbra) 1781 An Investigation into Using Genetic Programming 1681 Parsing and Translation of Expressions as a Means of Inducing Solutions to Novice by Genetic Programming Procedural Programming Problems D. Jackson (University of Liverpool) N. Pillay (University of KwaZulu-Natal) 1689 The Push3 Execution Stack and the Evolution 1783 A Statistical Learning Theory Approach of Bloat of Control S. Gelly, O. Teytaud, N. Bredeche, M. Schoenauer L. Spector, J. Klein (Hampshire College) (University Paris-Sud) M. Keijzer (Chordiant Software Inc.) 1785 Scalability of Genetic Programming and 1697 CGP Visits the Santa Fe Trail — Effects Probabilistic Incremental Program Evolution of Heuristics on GP R. Ondas, M. Pelikan (University of Missouri at St. Louis) C. Z. Janikow, C. J. Mann (University of Missouri K. Sastry (University of Illinois at Urbana-Champaign) at St. Louis) Volume 1: pages 1–1112 xiv Volume 2: pages 1113–2246 1787 Evolving Recurrent Models Using Linear GP Learning Classifier Systems and Other X. Luo, M. I. Heywood, A. N. Zincir-Heywood Genetics-Based Machine Learning: Poster (Dalhousie University) 1893 The Compact Classifier System: Motivation, 1789 Evolutionary Tree Genetic Programming Analysis, and First Results J. Antolík (Charles University) X. Llorà, K. Sastry, D. E. Goldberg (University of Illinois W. H. Hsu (Kansas State University) at Urbana-Champaign) 1791 Parameter Sweeps for Exploring GP Parameters M. E. Samples, J. M. Daida, M. Byom, M. Pizzimenti Real World Applications (University of Michigan) 1897 Interactive Estimation of Agent-Based Financial Learning Classifier Systems and Other Markets Models: Modularity and Learning I. Ecemis (CoalesiX) Genetics-Based Machine Learning E. Bonabeau (Icosystem) 1795 Modeling Systems with Internal State T. Ashburn (Tiger) using Evolino 1905 Evolving Computer Intrusion Scripts for D. Wierstra, F. J. Gomez (IDSIA) Vulnerability Assessment and Log Analysis J. Schmidhuber (IDSIA, TU Munich) J. Budynek, E. Bonabeau (Icosystem) 1803 XCS for Robust Automatic Target Recognition B. Shargel (New York University) B. Ravichandran, A. Gandhe (Scientific Systems Company) R. E. Smith (University of The West of England) 1913 Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution 1811 Constructive Induction and Genetic Algorithms Y. F. Sit, R. Miikkulainen (The University of Texas for Learning Concepts with Complex Interaction at Austin) L. S. Shafti, E. Pérez Pérez (Universidad Autónoma de Madrid) 1921 Genetic Algorithms for the Sailor Assignment Problem 1819 A First Order Logic Classifier System D. Garrett, J. Vannucci, R. Silva, D. Dasgupta D. Mellor (The University of Newcastle) (University of Memphis) 1827 Extending XCSF Beyond Linear Approximation J. Simien (Naval Personnel Research, Studies P. L. Lanzi (Politecnico di Milano, University of Illinois and Technology) at Urbana Champaign) 1929 Mission Planning for Joint Suppression of Enemy D. Loiacono (Politecnico di Milano) Air Defenses Using a Genetic Algorithm S. W. Wilson, D. E. Goldberg (University of Illinois J. P. Ridder, J. C. HandUber (System of Systems Analytics at Urbana-Champaign) Corporation) 1835 Kernel-based, Ellipsoidal Conditions 1937 Map-labelling with a Multi-objective Evolutionary in the Real-Valued XCS Classifier System Algorithm M. V. Butz (University of Würzburg) L. Bradstreet, L. Barone, L. While (The University 1843 Analysis of the Initialization Stage of a Pittsburgh of Western Australia) Approach Learning Classifier System 1945 Improving EA-based Design Space Exploration J. Bacardit (University of Nottingham) by Utilizing Symbolic Feasibility Tests 1851 XCS with Eligibility Traces T. Schlichter, C. Haubelt, J. Teich (University J. Drugowitsch, A. M. Barry (University of Bath) of Erlangen-Nuremberg) 1859 XCS with Computed Prediction in Multistep 1953 Automated Re-Invention of Six Patented Optical Environments Lens Systems using Genetic Programming P. L. Lanzi (Politecnico di Milano, University of Illinois J. R. Koza (Stanford University) at Urbana-Champaign) S. H. Al-Sakran, L. W. Jones (Genetic Programming Inc.) D. Loiacono (Politecnico di Milano) S. W. Wilson, D. E. Goldberg (University of Illinois 1961 Effective Image Compression using Evolved at Urbana-Champaign) Wavelets U. Grasemann, R. Miikkulainen (The University 1867 ATNoSFERES revisited of Texas at Austin) S. Landau (Université de París-Sud) O. Sigaud (Université Pierre et Marie Curie) 1969 The Molecule Evoluator: an Interactive M. Schoenauer (Université de París-Sud) Evolutionary Algorithm for Designing Drug Molecules 1875 An Abstraction Algorithm for Genetics-based E.-W. Lameijer, A. Ijzerman, J. Kok (Leiden University) Reinforcement Learning T. Bäck (Leiden University, NuTech Solutions) W. Browne, D. Scott (University of Reading) 1977 Neuroevolution of an Automobile Crash Warning 1883 DXCS: an XCS System For Distributed Data Mining System H. H. Dam, H. A. Abbass, C. Lokan (University K. Stanley, N. Kohl (University of Texas at Austin) of New South Wales) R. Sherony (Toyota Technical Center) R. Miikkulainen (University of Texas at Austin) Volume 1: pages 1–1112 xv Volume 2: pages 1113–2246 1985 Incorporating Fuzzy Knowledge into Fitness: 2097 Applying Metaheuristic Techniques to Search Multiobjective Evolutionary 3D Design the Space of Bidding Strategies in Combinatorial of Process Plants Auctions I. Mierswa (University of Dortmund) A. Sureka, P. R. Wurman (North Carolina State University) 1993 Optimizing Parameters of a Mobile Ad Hoc Network 2105 An Artificial Immune System Algorithm Protocol with a Genetic Algorithm for CDMA Multiuser Detection over Multi-Path D. Montana, J. Redi (BBN Technologies) Channels M. Gong, L. Jiao, L. Wang (Xidian University) 1999 Determining Equations for Vegetation Induced H. Du (Xi’an Jiaotong University) Resistance using Genetic Programming M. Keijzer (WL | Delft Hydraulics) 2113 Optimization of Passenger Car Design for M. Baptist (Delft University of Technology) the Mitigation of Pedestrian Head Injury V. Babovic, J. R. Uthurburu (WL | Delft Hydraulics) Using a Genetic Algorithm E. Carter (The University of Birmingham) 2007 Parameterized versus Generative Representations S. Ebdon (Independent Consultant) in Structural Design: An Empirical Comparison C. Neal-Sturgess (The University of Birmingham) R. Kicinger, T. Arciszewski, K. De Jong (George Mason University) 2121 An Ant Colony Algorithm for Multi-user Detection in Wireless Communication Systems 2015 A Multi-objective Algorithm for DS-CDMA Code S. L. Hijazi, B. Natarajan, S. Das (Kansas State University) Design Based on the Clonal Selection Principle D. Stevens, S. Das, B. Natarajan (Kansas State University) 2127 A Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural Network Training 2021 Classification of Human Decision Behavior: Algorithm for Failure Rate Prediction in Overhead Finding Modular Decision Rules with Genetic Feeders Algorithms G. Cochenour, J. Simon, S. Das, A. Pahwa, S. Nag F. Rothlauf, D. Schunk (University of Mannheim) (Kansas State University) J. Pfeiffer (University of Waterloo) 2133 Evolving Petri Nets to Represent Metabolic 2029 GAMM: Genetic Algorithms with Meta-Models Pathways for Vision J. Nummela, B. A. Julstrom (St. Cloud State University) G. Lee, V. Bulitko (University of Alberta) 2141 MRI Magnet Design: Search Space Analysis, 2037 Genetic Fuzzy Discretization with Adaptive EDAs and a Real-World Problem with Significant Intervals for Classification Problems Dependencies Y.-S. Choi, B.-R. Moon (Seoul National University) B. Yuan, M. Gallagher, S. Crozier (The University S. Y. Seo (KT Marketing & Technology Laboratory) of Queensland) 2045 Hierarchical Multi-sensor Image Registration 2149 Predicting Mining Activity with Parallel Using Evolutionary Computation Genetic Algorithms J. Han, B. Bhanu (University of California at Riverside) S. Talaie, R. Leigh, S. J. Louis, G. L. Raines 2053 A Comparison of Evolutionary Algorithms (University of Nevada) for System-Level Diagnosis 2157 An Efficient Evolutionary Algorithm Applied B. T. Nassu, E. P. Duarte Jr., A. T. R. Pozo to the Design of Two-dimensional IIR Filters (Federal University of Paraná) S. Das, A. Konar (Jadavpur University) 2061 Stock Prediction Based on Financial Correlation U. K. Chakraborty (University of Missouri) Y.-K. Kwon, S.-S. Choi, B.-R. Moon 2165 An Enhanced GA to Improve the Search Process (Seoul National University) Reliability in Tuning of Control Systems 2067 Use of a Genetic Algorithm in Brill’s A. Soltoggio (The University of Birmingham) Transformation-Based Part-of-Speech Tagger 2173 Three Dimensional Evolutionary Aerodynamic G. Wilson, M. Heywood (Dalhousie University) Design Optimization with CMA-ES 2075 An “Ageing” Operator and Its Use in the Highly M. Hasenjäger, B. Sendhoff (Honda Research Institute Constrained Topological Optimization of HVAC Europe GmbH) System Design T. Sonoda, T. Arima (Honda R&D Ltd.) J. Wight, Y. Zhang (Loughborough University) 2181 Evolutionary Optimization of Dynamic Control 2083 Genetic Algorithm Optimization Problems Accelerated by Progressive Step of Superresolution Parameters Reduction B. Ahrens (University of Idaho) Q. T. Pham (University of New South Wales) 2089 Nonlinear Feature Extraction Using a Neuro Genetic Hybrid Real World Applications: Posters Y.-K. Kwon, B.-R. Moon (Seoul National University) 2191 Heuristic Rules Embedded Genetic Algorithm to Solve In-Core Fuel Management Optimization Problem F. Alim, K. Ivanov (Pennsylvania State University) Volume 1: pages 1–1112 xvi Volume 2: pages 1113–2246 2193 New Evolutionary Techniques for Test-Program 2209 GATS 1.0: A Novel GA-based Scheduling Algorithm Generation for Complex Microprocessor Cores for Task Scheduling on Heterogeneous Processor E. Sanchez, M. Schillaci, M. S. Reorda, G. Squillero, Nets L. Sterpone, M. Violante (Politecnico di Torino) M. Daoud, N. Kharma (Concordia University) 2195 Multi-Objective Optimization of Diesel Engine 2211 Using Evolutionary Optimization to Improve Emissions and Fuel Economy Using SPEA2+ Markov-based Classification with Limited T. Hiroyasu, M. Miki, S. Nakayama, Y. Hanada (Doshisha Training Data University) T. Meekhof, R. B. Heckendorn (University of Idaho) 2197 A Case Study of Process Facility Optimization 2213 MOEA Design of Robust Digital Symbol Sets using Discrete Event Simulation and Genetic R. O. Day (Air Force Institute of Technology) Algorithm A. S. Nunez (Air Force Research Laboratory) K. P. Dahal (University of Bradford) G. B. Lamont (Air Force Institute of Technology) S. J. Galloway, G. M. Burt, J. R. McDonald (University of Strathclyde) 2215 Design of Air Pump System Using Bond Graph I. Hopkins (Rolls Royce plc.) and Genetic Programming Method K. Seo (Seokyeong University) 2199 Collaborative Interactive Evolution E. D. Goodman, R. C. Rosenberg (Michigan State S. R. Szumlanski, A. S. Wu, C. E. Hughes University) (University of Central Florida) 2217 Production Planning in Manufacturing/ 2201 Event-driven Learning Classifier Systems Remanufacturing Environment using Genetic for Online Soccer Games Algorithm Y. Sato, R. Kanno (Hosei University) C. Lim (Seoul National University) E. Sim (Samsung Electronics Co., Ltd) 2203 A Genetic Algorithm Approach to the Selection of Near-Optimal Subsets from Large Sets 2219 Introducing a Watermarking with a Multi-Objective P. Whiting, P. W. Poon (Tillinghast) Genetic Algorithm J. N. Carter (Imperial College) D. S. Díaz, M. G. Romay (Universidad del Pais Vasco) 2205 Compact Genetic Algorithm for Active Interval 2221 A New Evolutionary Method for Time Series Scheduling in Hierarchical Sensor Networks Forecasting M.-H. Jin, C.-Y. Kao, Y.-C. Huang (Taiwan University) T. A. E. Ferreira, G. C. Vasconcelos, P. J. L. Adeodato D. F. Hsu (Fordham University) (Federal University of Pernambuco) R.-G. Lee (Taipei University of Technology) C.-K. Lee (Taiwan University) 2223 Author Index 2207 Symbolic Regression in Multicollinearity Problems F. A. Castillo, C. M. Villa (The Dow Chemical Company) 2228 Subject-Keyword Index Volume 1: pages 1–1112 xvii Volume 2: pages 1113–2246

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GECCO 2005, Genetic and Evolutionary Computation Conference, evolutionary computation, genetic programming, genetic algorithms, Lecture Notes in Computer Science, ACM Press, genetic algorithm, evolutionary algorithms, Washington DC

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posted: | 8/28/2011 |

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