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Genetic AlgorithmsOctober 1999
Publisher:
  • John Wiley & Sons, Inc.
  • 605 Third Ave. New York, NY
  • United States
ISBN:978-0-471-31531-5
Published:01 October 1999
Pages:
512
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Abstract

From the Publisher:

Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it. Written by two internationally-known experts on genetic algorithms and artificial intelligence, this important book addresses one of the most important optimization techniques in the industrial engineering/manufacturing area, the use of genetic algorithms to better design and produce reliable products of high quality. The book covers advanced optimization techniques as applied to manufacturing and industrial engineering processes, focusing on combinatorial and multiple-objective optimization problems that are most encountered in industry.

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Contributors
  • Fuzzy Logic Systems Institute
  • Ashikaga University

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