Genetic algorithms and soft computing
Author(s)
Bibliographic Information
Genetic algorithms and soft computing
（Studies in fuzziness and soft computing, v. 8）
Physica-Verlag, c1996
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Description and Table of Contents
Description
Soft Computing is concerned with modes of computing in which precision is treated for tractability, robustness and ease of implementation, and it contains Fuzzy Sets and Genetic Algorithms among its components. Each of them have different advantages to deal with nonlinearity or explicit knowledge expression, but learning capability, as well as global and local search approaches provided by Genetic Algorithms are remarkable. This book will be revealing for all those interested in new developments and practical applications in the interface between Soft Computing and Genetic Algorithms.
Table of Contents
Contents: Foundations.- Fuzzy Logic Based Techniques in Genetic Algorithms.- Learning in Fuzzy Controllers.- Optimization of Fuzzy Controllers.- Fuzzy Classifier Systems.- Fuzzy Neural Nets.- Genetic Algorithms in Fuzzy Contexts.- Applications.
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