Proceedings of the First International Conference on Genetic Algorithms and Their Applications: July 24-26, 1985 at the Carnegie-Mellon University, Pittsburgh, Pa

By John J. Grefenstette; International Conference on Genetic Algorithms et al. | Go to book overview

PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS AND THEIR APPLICATIONS

July 24-26, 1985

at the

Carnegie-Mellon University

Pittsburgh, PA

Sponsored By

Texas Instruments, Inc.

Naval Research Laboratory

John J. Grefenstette

Editor

LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS

1988 Hillsdale, New Jersey Hove and London

-i-

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Proceedings of the First International Conference on Genetic Algorithms and Their Applications: July 24-26, 1985 at the Carnegie-Mellon University, Pittsburgh, Pa
Table of contents

Table of contents

  • Title Page i
  • Preface iii
  • Acknowledgements iii
  • Conference Committee iii
  • Table of Contents v
  • Properties of the Bucket Brigade Algorithm 1
  • References. 7
  • Genetic Algorithms and Rule Learning in Dynamic System Control 8
  • References 14
  • Knowledge Growth in an Artificial Animal 16
  • Abstract 16
  • References 16
  • Conclusion 23
  • References 23
  • References 23
  • Implementing Semantic Network Structures Using the Classifier System 24
  • Introduction 24
  • Conclusions 42
  • References 44
  • The Bucket Brigade is Not Genetic 45
  • References 59
  • Genetic Plans and the Probabilistic Learning System: Synthesis and Results 60
  • Abstract 60
  • References 71
  • Appendix A. Glossary of Terms 72
  • Appendix A. Glossary of Terms 73
  • Appendix A. Glossary of Terms 73
  • Learning Multiclass Pattern Discrimination 74
  • Abstract 74
  • References 79
  • Improving the Performance of Genetic Algorithms in Classifier Systems 80
  • Introduction 80
  • Conclusions 90
  • Acknowledgements 91
  • References 91
  • Multiple Objective Optimization with Vector Evaluated Genetic Algorithms 93
  • Abstract 93
  • References 100
  • Adaptive Selection Methods for Genetic Algorithms 101
  • Abstract 101
  • References 106
  • Genetic Search with Approximate Function Evaluations 112
  • Abstract 112
  • References 117
  • A Connectionist Algorithm for Genetic Search 121
  • Abstract 121
  • References 135
  • Job Shop Scheduling with Genetic Algorithms 136
  • Footnotes 140
  • Compaction of Symbolic Layout Using Genetic Algorithms 141
  • Introduction. 141
  • Conclusions. 152
  • Acknowledgements. 153
  • References. 153
  • Alleles, Loci, and the Traveling Salesman Problem 154
  • Introduction 154
  • Conclusions 158
  • References. 158
  • Genetic Algorithms for the Traveling Salesman Problem 160
  • Abstract 160
  • References 165
  • Genetic Algorithms: A 10 Year Perspective 169
  • References 176
  • Classifier System with Long-Term Memory in Machine Learning 178
  • Abstract 178
  • Acknowledgements 182
  • References 182
  • A Representation for the Adaptive Generation of Simple Sequential Programs 183
  • Introduction 183
  • Acknowledgements 187
  • References 187
  • Adaptive "Cortical" Pattern Recognition 188
  • Introduction 188
  • Summary 192
  • Machine Learning of Visual Recognition Using Genetic Algorithms 197
  • Abstract 197
  • References 201
  • Bin Packing with Adaptive Search Derek Smith Texas Instruments 202
  • 6.0 References 206
  • Directed Trees Method for Fitting a Potential Function 208
  • Abstract 208
  • Section: 5. References 223
  • Author Index 227
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