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Genetic Algorithms in Search, Optimization and Machine Learning (89 Edition)by David E. Goldberg
Synopses & ReviewsPlease note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.
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.
Includes bibliographical references (p. -401).
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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