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Aug 1999
ISBN 026222058X
220 pp.
40 illus.
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The Simple Genetic Algorithm
Michael D. Vose

"This book should be required reading for anyone working in the theory of genetic algorithms and evolutionary computation."
-- Alden Wright, Professor of Computer Science, University of Montana, Missoula

The Simple Genetic Algorithm (SGA) is a classical form of genetic search. Viewing the SGA as a mathematical object, Michael D. Vose provides an introduction to what is known (i.e., proven) about the theory of the SGA. He also makes available algorithms for the computation of mathematical objects related to the SGA. Although he describes the SGA in terms of heuristic search, the book is not about search or optimization per se. Rather, the focus is on the SGA as an evolutionary system. The author intends the book also to serve as an outline for exploring topics in mathematics and computer science in a goal-oriented way.

Table of Contents
 Preface
1 Introduction
2 Notation
3 Random Heuristic Search
4 The Simple Genetic Algorithm
5 Implementation
6 The Walsh Transform
7 Computing with the Heuristic
8 Basic Examples
9 The Inverse Heuristic
10 Focused Heuristics
11 Linear Fitness
12 Perturbation Arguments
13 Transient Behavior
14 Asymptotic Behavior
15 Hyperbolicity
16 Geometric Invariance
17 Quotients
18 Models
19 Schemata
20 Appendix
 Symbol Index
 Index
 
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