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Foundations of Genetic Algorithms 1993 (FOGA 2) book cover, ISBN 9781558602632

Foundations of Genetic Algorithms 1993 (FOGA 2)

by FOGA

ISBN13: 9781558602632
ISBN10: 1558602631
Format: Hardcover
Copyright: 1993-02-01
Publisher: Elsevier Science

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Summary

A collection of papers on techniques in genetic algorithms.

Table of Contents

Introduction

1

(4)

Part 1: Foundation Issues Revisited

Genetic Algorithms are NOT Function Optimizers

5

(14)

Kenneth A. DeJong

Generation Gaps Revisited

19

(10)

Kenneth A. DeJong

Jayshree Sarma

Part 2: Modeling Genetic Algorithms

Recombination Distributions for Genetic Algorithms

29

(16)

Lashon B. Booker

An Executable Model of a Simple Genetic Algorithm

45

(18)

Darrell Whitley

Modeling Simple Genetic Algorithms

63

(12)

Michael D. Vose

Part 3: Deception and the Building Block Hypothesis

Deception Considered Harmful

75

(18)

John J. Grefenstette

Analyzing Deception in Trap Functions

93

(16)

Kalyanmoy Deb

David E. Goldberg

Relative Building-Block Fitness and the Building Block Hypothesis

109

(18)

Stephanie Forrest

Melanie Mitchell

Part 4: Convergence and Genetic Diversity

Accounting for Noise in the Sizing of Populations

127

(14)

David E. Goldberg

Kalyanmoy Deb

James H. Clark

Syntactic Analysis of Convergence in Genetic Algorithms

141

(12)

Sushil J. Louis

Gregory J.E. Rawlins

Population Diversity in an Immune System Model: Implications for Genetic Search

153

(14)

Robert E. Smith

Stephanie Forrest

Alan S. Perelson

Remapping Hyperspace During Genetic Search: Canonical Delta Folding

167

(20)

Keith Mathias

Darrell Whitley

Part 5: Genetic Operators and Their Analysis

Real-Coded Genetic Algorithms and Interval-Schemata

187

(16)

Larry J. Eshelman

J. David Schaffer

Genetic Set Recombination

203

(18)

Nicholas J. Radcliffe

Crossover or Mutation?

221

(18)

William M. Spears

Simulated Crossover in Genetic Algorithms

239

(18)

Gilbert Syswerda

Part 6: Machine Learning

Learning Boolean Functions with Genetic Algorithms: A PAC Analysis

257

(20)

Johannes P. Ros

Is the Genetic Algorithm a Cooperative Learner?

277

(20)

Helen G. Cobb

Hierarchical Automatic Function Definition in Genetic Programming

297

(22)

John R. Koza

Author Index

319

(2)

Key Word Index

321

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