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Evolutionary Programming VII V.W. Porto N. Saravanan D. Waagen A.E. Eiben (Eds.) Evolutionary Programming VII 7th International Conference, EP98 San Diego, California, USA, March 25-27, 1998 Proceedings In Cooperation with IEEE Neural Networks Council Springer Table of Contents Special Invited Lecture The Cumulative Consensus of Cognitive Agents in Scenarios: A Framework for Evolutionary Processes in Semantic Memory 3 D.W. Dearholt Economics, Emergence and Complex Systems Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics 15 L Tesfatsion Subspace Pursuit for Exploratory Modeling 25 S. Bankes Complete Classes of Strategies for the Classical Iterated Prisoner's Dilemma 33 B. Beaufils, J.-P. Delahaye, and P. Mathieu Evolutionary Computing in Multi-agent Environments: Operators 43 LBull Evalution of a Simple Host-Parasite Genetic Algorithm . 53 B. Olsson Testing Three Paradigms for Evolving Groups of Cooperative, Simple Agents 63 J.F. Walker Issues and Innovations in Evolutionary Computation Acquisition of General Adaptive Features by Evolution 75 D. Ashlock and J.E. May field Hybrid Interior-Lagrangian Penalty Based Evolutionary Optimization 85 H. Myung and J. -H. Kim GA-Optimal Fitness Functions 95 J.L Breeden Scaling Up Evolutionary Programming Algorithms 103 X.Yao and Y.Liu Short Notes on the Schema Theorem and the Building Block Hypothesis in 113 Genetic Algorithms R. Salomon Applications I A Superior Evolutionary Algorithm for 3-SAT 125 T. Back, A.E. Eiben, andM.E. Vink Evolvable Hardware Control for Dynamic Reconfigurable and 137 Adaptive Computing P.M. Chau, G. Clark, andA.V. Sebald Evolutionary Programming Strategies with Self-Adaptation Applied to 147 the Design of Rotorcraft Using Parallel Processing J.E. Hirsh and D.K. Young Optimization of Thinned Phased Arrays Using Evolutionary Programming 157 K. Chellapilla, R. Sathyanarayan, and A. Hoorfar Evolutionary Domain Covering of an Inference System for 167 Function Approximation W. Kosinski, M. Weigl, and Z. Michalewicz Evolution-Based Approaches to Engineering Design Learning to Re-engineer Semantic Networks Using Cultural Algorithms 181 N. Rychtyckyj and R.G. Reynolds Integration of Slicing Methods into a Cultural Algorithm in Order to Assist in 191 Large-Scale Engineering Systems Design D. Ostrowski and R. G. Reynolds Genetic Search for Object Identification 199 5./. Louis, G. Bebis, S. Uthiram, and Y. Varol Fuzzy Cultural Algorithms with Evolutionary Programming 209 S. Zhu and R.G. Reynolds XI Culturing Evolution Strategies to Support the Exploration of 219 Novel Environments by an Intelligent Robotic Agent C.-J. Chung and R.G. Reynolds Skeuomorphs and Cultural Algorithms 229 N. Gessler Examining Representations and Operators I Sphere Operators and Their Applicability for Constrained 241 Parameter Optimization Problems M. Schoenauer and Z. Michalewicz Numeric Mutation as an Improvement to Symbolic Regression in 251 Genetic Programming T. Fernandez and M. Evett Variable-Dimensional Optimization with Evolutionary Algorithms Using 261 Fixed-Length Representations J. Sprave and S. Rolf On Making Problems Evolutionary Friendly 271 Part 1: Evolving the Most Convenient Representations A. V. Sebald and K. Chellapilla On Making Problems Evolutionary Friendly 281 Part 2: Evolving the Most Convenient Coordinate Systems Within Which to Pose (and Solve) the Given Problem A.V. Sebald and K. Chellapilla An Experimental Investigation of Self-Adaptation in 291 Evolutionary Programming K.-H. Liang, X.Yao, Y. Liu, C. Newton, andD. Hoffman Evolutionary Computation Theory On the Application of Evolutionary Pattern Search Algorithms 303 W.E. Hart The Schema Theorem and the Misallocation of Trials in the Presence of 313 Stochastic Effects D.B. Fogel and A. Ghozeil XII On the "Explorative Power" of ES/EP-like Algorithms 323 H.-G. Beyer Resampling and its Avoidance in Genetic Algorithms 335 R. Salomon - - Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets 345 G. Rudolph Tailoring Mutation to Landscape Properties 355 W.G. Macready Applications II A Genetic Programming Methodology for Missile Countermeasures 367 Optimization Under Uncertainty F. W. Moore and O.N. Garcia Evolutionary Algorithms for Vertex Cover 377 I.K. Evans An Evolutionary Self-Learning Methodology: Some Preliminary Results from 387 a Case Study S. Thacore Evolving IIR Filters in Multipath Environments 397 S. Sundaralingam and K. Sharman Fuzzy Partition and Input Selection by Genetic Algorithms for 407 Designing Fuzzy Rule-Based Classification Systems T. Murata, H. Ishibuchi, T. Nakashima, and M. Gen Evolving Nonlinear Controllers for Backing up a Truck-and-Trailer 417 Using Evolutionary Programming K. Chellapilla Evolutionary Computation and Biological Modeling Reconstruction of DNA Sequence Information from a Simulated DNA Chip 429 Using Evolutionary Programming G.B. Fogel, K. Chellapilla, and D.B. Fogel XIII Using Programmatic Motifs and Genetic Programming to 437 Classify Protein Sequences as to Cellular Location J.R. Koza, F.H. Bennett HI, andD. Andre Fully Automated and Rapid Flexible Docking of Inhibitors 449 Covalently Bound to Serine Proteases D.K. Gehlhaar, D. Bouzida, and P.A. Rejto Microtubule Networks as a Medium for Adaptive Information Processing 463 J.O. Pfaffmann and M. Conrad Evolve IV: A Metabolically-Based Artificial Ecosystem Model 473 /. Brewster and M. Conrad Sex, Mate Selection, and Evolution 483 K. Jaffe Finding Low Energy Conformations of Atomic Clusters • 493 Using Evolution Strategies G.W. Greenwood and Y.-P. Liu Estimating the Distribution of Neural Connections in the Saccadic System 503 Using a Biologically Plausible Learning rule - Preliminary Results R.W. Anderson, J.B. Badler, andE.L. Keller Issues and Innovations in Evolutionary Computation II Evolutionary Algorithms Combined with Deterministic Search 517 G.B. Lamont, S.M. Brown, and G.H. Gates Jr. Steady State Memetic Algorithm for Partial Shape Matching 527 E. Ozcan and C.K. Mohan A Fully Characterized Test Suite for Genetic Programming 537 D. Ashlock and J.I. Lathrop Genetic Algorithms for Belief Network Inference: 547 The Role of Scaling and Niching O.J. Mengshoel and D.C. Wilkins Building Software Frameworks for Evolutionary Computation 557 M.A. Smith Recorded Step Directional Mutation for Faster Convergence 569 T. Dunning XIV Particle Swarm The Behavior of Particles 581 J. Kennedy Parameter Selection in Particle Swarm Optimization 591 Y. Shi and R.C. Eberhart Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences 601 P.J. Angeline Comparison between Genetic Algorithms and Particle Swarm Optimization 611 R.C. Eberhart and Y. Shi Combinations of Evolutionary and Neural Computation A Hybrid Evolutionary Learning System for Synthesizing Neural Network 619 Pattern Recognition Systems D. Wicker, MM. Rizki, and L.A. Tamburino An Evolutionary Algorithm for Designing Feedforward Neural Networks 629 A.N. Skourikhine Dual Network Representation Applied to the Evolution of Neural Controllers 637 J.C.Figueira Pujol and R. Poli What does the Landscape of a Hopfield Associative Memory Look Like? 647 A. Imada and K. Araki Special Invited Lecture Visualization of Evolutionary Adaptation in R" 659 A. Chorazyczewski and R. Galar.
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