Genetic Programming III: Darwinian Invention and Problem Solving

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Morgan Kaufmann, 1999 - Computers - 1154 pages
Genetic programming is a method for enabling a computer to solve a problem by telling it what needs to be done instead of how to do it. This method borrows from the theory and techniques of biological evolution to automatically create computer programs to solve problems. In this book, the authors present their latest and most important genetically evolved solutions to dozens of problems of design, optimal control, classification, systems identification, function learning, and computational molecular biology. More than half of the book focuses on the previously unsolved problem of analogue circuit synthesis.

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Contents

Acknowledgments
xxiii
Introduction 1
lxvii
Acknowledgments
lxxxvi
Synthesis of a TwoBand Crossover
4
for Iterations
28
Background on Genetic Programming and Evolutionary
28
Synthesis of a ThreeBand Crossover
28
Synthesis of a Voltage Reference
48
The Genetic Programming Problem Solver
311
Emergence of Hierarchy Using
561
Embryos and Test Fixtures
571
Evolvable Hardware
931
Discovery of Cellular Automata Rules
959
Discovery of Motifs and Programmatic Motifs
985
Parallelization and Implementation Issues
1019
Minimal Embryo
1138

851
61
ArchitectureAltering Operations 67
290

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