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 . 53 B. Olsson

Testing Three Paradigms for Evolving Groups of Cooperative, Simple Agents 63 J.F. Walker

Issues and Innovations in

Acquisition of General Adaptive Features by 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 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 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 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 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