Genetic Programming: An Introduction:
On the Automatic Evolution of Computer Programs and Its Applications
Morgan Kaufmann Publishers | ISBN: 155860510X | November 1997 | 450 Pages | PDF | 19 Mb
[The authors] have performed a remarkable double service with this excellent book on genetic programming. First, they give an up-to-date view of the rapidly growing field of automatic creation of computer programs by means of evolution and, second, they bring together their own innovative and formidable work on evolution of assembly language machine code and linear genomes. John R. Koza
Table of Contents Foreword Preface Acknowledgments I Prerequisites of Genetic Programming 1 Genetic Programming as Machine Learning 3 2 Genetic Programming and Biology 33 3 Computer Science and Mathematical Basics 57 4 Genetic Programming as Evolutionary Computation 87 II Genetic Programming Fundamentals 5 Basic Concepts - The Foundation 107 6 Crossover - The Center of the Storm 143 7 Genetic Programming and Emergent Order 175 8 Analysis - Improving Genetic Programming with Statistics 203 III Advanced Topics in Genetic Programming 9 Different Varieties of Genetic Programming 239 10 Advanced Genetic Programming 277 11 Implementation - Making Genetic Programming Work 309 12 Applications of Genetic Programming 339 13 Summary and Perspectives 379 A Printed and Recorded Resources 385 B Information Available on the Internet 389 C GP Software 393 D Events 395 Bibliography 399 Person Index 445 Subject Index 451
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