Table of Contents

• The Cumulative Consensus of Cognitive Agents in Scenarios: A Framework for Evolutionary Processes in Semantic MemoryDonald W. Dearholt. 3-12
• Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational EconomicsLeigh Tesfatsion. 15-24
• Subspace Pursuit for Expolatory ModelingSteve Bankes. 25-31
• Complete Classes of Strategies for the Classical Iterated Prisoner s DilemmaBruno Beaufils, Jean-Paul Delahaye, Philippe Mathieu. 33-41
• Evolutionary Computing in Multi-agent Environments: OperatorsLarry Bull. 43-52
• Evaluation of a Simple Host-Parasite Genetic AlgorithmBjörn Olsson. 53-62
• Testing Three Paradigms for Evolving Groups of Cooperative, Simple AgentsJohn F. Walker. 63-72
• Acquisition of General Adaptive Features by EvolutionDan Ashlock, John E. Mayfield. 75-84
• Hybrid Interior-Langrangian Penalty Based Evolutionary OptimizationHyun Myung, Jong-Hwan Kim. 85-94
• GA-Optimal Fitness FunctionsJoseph L. Breeden. 95-102
• Scaling Up Evolutionary Programming AlgorithmsXin Yao, Yong Liu. 103-112
• Short Notes on the Schema Theorem and the Building Block Hypothesis in Genetic AlgorithmsRalf Salomon. 113-122
• A Superior Evolutionary Algorithm for 3-SATThomas Bäck, A. E. Eiben, Marco E. Vink. 125-136
• Evolvable Hardware Control for Dynamic Reconfigurable and Adaptive ComputingPaul M. Chau, Gerald Clark, Anthony V. Sebald. 137-146
• Evolutionary Programming Strategies with Self-Adaptation Applied to the Design of Rotorcraft Using Parallel ProcessingJoel E. Hirsh, Darrell K. Young. 147-156
• Optimization of Thinned Phased Arrays Using Evolutionary ProgrammingKumar Chellapilla, Rao Sathyanarayan, Ahmad Hoorfar. 157-166
• Evolutionary Domain Covering of an Inference System for Function ApproximationWitold Kosinski, Martyna Weigl, Zbigniew Michalewicz. 167-178
• Learning to Re-engineer Semantic Networks Using Cultural AlgorithmsNestor Rychtyckyj, Robert G. Reynolds. 181-190
• Integration of Slicing Methods into a Cultural Algorithm in Order to Assist in Large-Scale Engineering Systems DesignDavid A. Ostrowski, Robert G. Reynolds. 191-198
• Genetic Search for Object IdentificationSushil J. Louis, George Bebis, Satish Uthiram, Yaakov L. Varol. 199-208
• Fuzzy Cultural Algorithms with Evolutionary ProgrammingShinin Zhu, Robert G. Reynolds. 209-218
• Culturing Evolution Strategies to Support the Exploration of Novel Environments by an Intelligent Robotic AgentChan-Jin Chung, Robert G. Reynolds. 219-228
• Skeuomorphs and Cultural AlgorithmsNicholas Gessler. 229-238
• Sphere Operators and Their Applicability for Constrained Parameter Optimization ProblemsMarc Schoenauer, Zbigniew Michalewicz. 241-250
• Numeric Mutation as an Improvement to Symbolic Regression in Genetic ProgrammingThomas Fernandez, Matthew P. Evett. 251-260
• Variable-Dimensional Optimization with Evolutionary Algorithms Using Fixed-Length RepresentationsJoachim Sprave, Susanne Rolf. 261-269
• On Making Problems Evolutionarily Friendly - Part 1: Evolving the Most Convenient RepresentationsAnthony V. Sebald, Kumar Chellapilla. 271-280
• On Making Problems Evolutionarily Friendly - Part 2: Evolving the Most Convenient Coordinate Systems Within Which to Pose (and Solve) the Given ProblemAnthony V. Sebald, Kumar Chellapilla. 281-290
• An Experimental Investigation of Self-Adaptation in Evolutionary ProgrammingKo-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman. 291-300
• On the Application of Evolutionary Pattern Search AlgorithmsWilliam E. Hart. 303-312
• The Schema Theorem and the Misallocation of Trials in the Presence of Stochastic EffectsDavid B. Fogel, Adam Ghozeil. 313-321
• On the "Explorative Power" of ES/EP-like AlgorithmsHans-Georg Beyer. 323-334
• Resampling and its Avoidance in Genetic AlgorithmsRalf Salomon. 335-344
• Evolutionary Search for Minimal Elements in Partially Ordered Finite SetsGünter Rudolph. 345-353
• Tailoring Mutation to Landscape PropertiesWilliam G. Macready. 355-364
• A Genetic Programming Methodology for Missile Countermeasures Optimization Under UncertaintyFrank W. Moore, Oscar N. Garcia. 367-376
• Evolutionary Algorithms for Vertex CoverIsaac K. Evans. 377-386
• An Evolutionary Self-Learning Methodology: Some Preliminary Results from a Case StudySharad Thacore. 387-396
• Evolving IIR Filters in Multipath EnvironmentsSeelan Sundaralingam, Ken Sharman. 397-406
• Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification SystemsTadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen. 407-416
• Evolving Nonlinear Controllers for Backing up a Truck-and-Trailer Using Evolutionary ProgrammingKumar Chellapilla. 417-426
• Reconstruction of DNA Sequence Information from a Simulated DNA Chip Using Evolutionary ProgrammingGary B. Fogel, Kumar Chellapilla, David B. Fogel. 429-436
• Using Programmatic Motifs and Genetic Programming to Classify Protein Sequences as to Cellular LocationJohn R. Koza, Forrest H. Bennett III, David Andre. 437-447
• Fully Automated and Rapic Flexible Docking of Inhibitors Covalently Bound to Serine ProteasesDaniel K. Gehlhaar, Djamal Bouzida, Paul A. Rejto. 449-461
• Microtubule Networks as a Medium for Adaptive Information ProcessingJeffrey O. Pfaffmann, Michael Conrad. 463-472
• Evolve IV: A Metabolically-Based Artificial Ecosystem ModelJon Brewster, Michael Conrad. 473-482
• Sex, Mate Selection, and EvolutionKlaus Jaffe. 483-492
• Finding Low Energy Conformations of Atomic Clusters Using Evolution StrategiesGarrison W. Greenwood, Yi-Ping Liu. 493-502
• Estimating the Distribution of Neural Connections in the Saccadic System Using a Biologically Plausible Learning rule - Preliminary ResultsRussell W. Anderson, Jeremy B. Badler, Edward L. Keller. 503-513
• Evolutionary Algorithms Combined with Deterministic SearchGary B. Lamont, Scott M. Brown, George H. Gates Jr.. 517-526
• Steady State Memetic Algorithm for Partial Shape MatchingEnder Ozcan, Chilukuri K. Mohan. 527-536
• A Fully Characterized Test Suite for Genetic ProgrammingDan Ashlock, James I. Lathrop. 537-546
• Genetic Algorithms for Belief Network Inference: The Role of Scaling and NichingOle J. Mengshoel, David C. Wilkins. 547-556
• Building Software Frameworks for Evolutionary ComputationMichael A. Smith. 557-567
• Recorded Step Directional Mutation for Faster ConvergenceTed Dunning. 569-578
• The Behavior of ParticlesJames Kennedy. 581-589
• Parameter Selection in Particle Swarm OptimizationYuhui Shi, Russell C. Eberhart. 591-600
• Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance DifferencesPeter J. Angeline. 601-610
• Comparison between Genetic Algorithms and Particle Swarm OptimizationRussell C. Eberhart, Yuhui Shi. 611-616
• A Hybrid Evolutionary Learining System for Synthesizing Neural Network Pattern Recognition SystemsDevert Wicker, Mateen M. Rizki, Louis A. Tamburino. 619-628
• An Evolutionary Algorithm for Designing Feedforward Neural NetworksAlexei N. Skourikhine. 629-635
• Dual Network Representation Applied to the Evolution of Neural ControllersJoão Carlos Figueira Pujol, Riccardo Poli. 637-646
• What does the Landscape of a Hopfield Associative Memory Look Like?Akira Imada, Keijiro Araki. 647-656
• Visualization of Evolutionary Adaptation in ::::R:::n:::::::A. Chorazyczewski, R. Galar. 659-668
• On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary ComputationArnold L. Patton, Terrence Dexter, Erik D. Goodman, William F. Punch III. 671-681
• Random Search versus Genetic Programming as Engines for Collective AdaptationThomas Haynes. 683-692
• Optimal Mutation and Crossover Rates for a Genetic Algorithm Operating in a Dynamic EnvironmentStephen A. Stanhope, Jason M. Daida. 693-702
• Local SelectionFilippo Menczer, Richard K. Belew. 703-712
• Asymmetric Mutations for Stochastic SearchJohn R. McDonnell. 713-722
• Automated Rule Extraction for Engine Health MonitoringThomas W. Brotherton, G. Chadderdon. 725-734
• Genetic Programming for Automatic Target Classification and RecognitionStephen A. Stanhope, Jason M. Daida. 735-744
• Evolving Heuristics for PlanningRicardo Aler, Daniel Borrajo, Pedro Isasi. 745-754
• Solving Cutting Stock Problems by Evolutionary ProgrammingKo-Hsin Liang, Xin Yao, Charles S. Newton, David Hoffman. 755-764
• An Empirical Investigation of an Evolutionary Algorithm s Ability to Maintain a Known Good SolutionThomas E. Kammeyer, Richard K. Belew. 767-776
• Evolving Integrated Low-Level Behaviors into Intelligently Interactive Simulated ForcesV. William Porto. 777-787
• Using Offset Invariant Crossover as a Tool for Discovering Cycle Lengths of a Periodic FunctionClifton Davis, Christoph F. Eick. 789-798
• Evolving a Generalized Behaviour: Artificial Ant Problem RevisitedIbrahim Kuscu. 799-808
• Co-evolving Functions in Genetic Programming: Dynamic ADF Creation Using GLiBManu Ahluwalia, Larry Bull. 809-818
• Evolving Spatially-Localized Projection Filters for SAR Automatic Target RecognitionDonald E. Waagen, John Pecina, Rodney Pickens. 819-827
• Genetic Programming in the Overlapping Generations Model: An Illustration with the Dynamics of the Inflation RateShu-Heng Chen, Chia-Hsuan Yeh. 829-838