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Genetic Programming On the Programming of Computers by Means of Natural Selection

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ISBN-10: 0262111705

ISBN-13: 9780262111706

Edition: 1992

Authors: John R. Koza

List price: $100.00
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Description:

Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs. In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different…    
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Book details

List price: $100.00
Copyright year: 1992
Publisher: MIT Press
Publication date: 12/11/1992
Binding: Hardcover
Pages: 836
Size: 7.00" wide x 10.00" long x 2.00" tall
Weight: 4.444
Language: English

Preface
Acknowledgments
Introduction and Overview
Pervasiveness of the Problem of Program Induction
Introduction to Genetic Algorithms
The Representation Problem for Genetic Algorithms
Overview of Genetic Programming
Detailed Description of Genetic Programming
Four Introductory Examples of Genetic Programming
Amount of Processing Required to Solve a Problem
Nonrandomness of Genetic Programming
Symbolic Regression - Error-Driven Evolution
Control - Cost-Driven Evolution
Evolution of Emergent Behavior
Evolution of Subsumption
Entropy-Driven Evolution
Evolution of Strategy
Co-Evolution
Evolution of Classification
Iteration, Recursion, and Setting
Evolution of Constrained Syntactic Structures
Evolution of Building Blocks
Evolution of Hierarchies of Building Blocks
Parallelization of Genetic Programming
Ruggedness of Genetic Programming
Extraneous Variables and Functions
Operational Issues
Review of Genetic Programming
Comparison with Other Paradigms
Spontaneous Emergence of Self-Replicating and Evolutionarily Self-Improving Computer Programs
Conclusions
Appendix A: Computer Implementation
Appendix B: Problem-Specific Part of Simple LISP Code
Appendix C: Kernel of the Simple LISP Code
Appendix D: Embellishments to the Simple LISP Code
Appendix E: Streamlined Version of EVAL
Appendix F: Editor for Simplifying S-Expressions
Appendix G: Testing the Simple LISP Code
Appendix H: Time-Saving Techniques
Appendix l: List of Special Symbols
Appendix J: List of Special Functions
Bibliography
Index