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Genetic Algorithms and Fuzzy Logic Systems Soft Computing Perspectives

Contributor(s): Sanchez, Elie (Editor), Shibata, Takanori (Editor), Zadeh, Lotfi A (Editor)

ISBN: 9789810224233

Publisher: World Scientific Publishing Company

Hardcover
$109.00
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Pub Date: March 15, 1997

Dewey: 006.3

LCCN: 96051850

Lexile Code: 0000

Features: Bibliography

Target Age Group: NA to NA

Physical Info: 0.72" H x 8.59" L x 6.07" W ( 1.01 lbs) 252 pages

Series: Advances in Fuzzy Systems-Applications and Theory

Descriptions, Reviews, etc.

Description: Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.

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