Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming (Wiley Series on Intelligent Systems)

Fogel, Lawrence J.

ISBN 10: 047133250X / ISBN 13: 9780471332503

Published by Wiley-Interscience, 1999

About this Item

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.

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Bibliographic Details

• Title: Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming (Wiley Series on Intelligent Systems)
• Publisher: Wiley-Interscience
• Publication Date: 1999
• Language: English
• ISBN 10: 047133250X
• ISBN 13: 9780471332503
• Binding: Hardcover
• Condition: very_good

About this title

Synopsis

A unique, one-stop reference to the history, technology, and application of evolutionary programming

Evolutionary programming has come a long way since Lawrence Fogel

first proposed in 1961 that intelligence could be modeled on the natural process of evolution. Efforts to apply this innovative approach to artificial intelligence have also evolved over the years, and the advent of fast desktop computers capable of solving complex computational problems has spawned an explosion of interest in the field.

Offering the unique perspective of one of the inventors of evolutionary programming, this remarkable work traces forty years of developments in the field. Dr. Fogel consolidates a wealth of information and hard-to-find figures from across the literature, providing comprehensive coverage of the evolutionary programming approach to simulated evolution. This includes both an updated, condensed version of his bestselling 1966 work, Artificial Intelligence Through Simulated Evolution (with Owens and Walsh), and a thorough discussion of the history, technology, and methods of machine learning from 1970 to the present.

This important resource features clear, up-to-date explanations of how the simulation of evolutionary processes allows machines to learn to solve new problems in new ways. And it helps readers make the leap to generating intelligent systems-extending the discussion to neural networks, fuzzy logic, and genetic algorithms development. Engineers and computer scientists in all areas of machine learning will gain invaluable insight into existing and emerging applications and obtain ample ideas to draw upon in future research.

About the Author

LAWRENCE J. FOGEL, PhD, is President of Natural Selection, Inc., La Jolla, California.