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Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives

Download or Read eBook Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives PDF written by Elie Sanchez and published by World Scientific. This book was released on 1997-03-15 with total page 252 pages. Available in PDF, EPUB and Kindle.
Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives
Author :
Publisher : World Scientific
Total Pages : 252
Release :
ISBN-10 : 9789814499804
ISBN-13 : 9814499803
Rating : 4/5 (04 Downloads)

Book Synopsis Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives by : Elie Sanchez

Book excerpt: 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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