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Genetic Algorithms in Search, Optimization, and Machine Learning

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Genetic Algorithms in Search, Optimization, and Machine Learning


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  • Copyright 1989
  • Dimensions: 7-3/8x9-1/4
  • Pages: 432
  • Edition: 1st
  • Book
  • ISBN-10: 0-201-15767-5
  • ISBN-13: 978-0-201-15767-3

This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.

Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required.


Sample Content

Table of Contents

Genetic Algorithms Revisited: Mathematical Foundations.

Computer Implementation of a Genetic Algorithm.

Some Applications of Genetic Algorithms.

Advanced Operators and Techniques in Genetic Search.

Introduction to Genetics-Based Machine Learning.

Applications of Genetics-Based Machine Learning.

A Look Back, A Glance Ahead.



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