Handbook of Evolutionary Computation

Handbook of Evolutionary Computation

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by Thomas Baeck
     
 

Many scientists and engineers now use the paradigms of evolutionary computation (genetic algorithms, evolution strategies, evolutionary programming, genetic programming, classifier systems, and combinations or hybrids) to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The Handbook

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Overview

Many scientists and engineers now use the paradigms of evolutionary computation (genetic algorithms, evolution strategies, evolutionary programming, genetic programming, classifier systems, and combinations or hybrids) to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The Handbook of Evolutionary Computation addresses the need for a comprehensive source of reference in the maturing field of evolutionary computation. The handbook is available in a looseleaf print format and an online format.

Product Details

ISBN-13:
9780750308953
Publisher:
Taylor & Francis
Publication date:
01/28/1997
Edition description:
RINGBOUND
Pages:
1130
Product dimensions:
12.70(w) x 11.30(h) x 2.40(d)

Meet the Author

Center for Applied Systems Analysis, Dortmund, Germany

Natural Selection Inc., La Jolla, California

University of North Carolina

Table of Contents

Foreword by Kenneth de Jong, Hans-Paul Schwefel, and Lawrence J. Fogel
Preface
Introduction
Fundamental Concepts of Evolutionary Computation
Evolutionary Computation Models
Hybrid Approaches
Evolutionary Computation Implementations
Applications of Evolutionary Computation
Evolutionary Computation in Practice: Case Studies

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