Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications: 574 (Studies in Computational Intelligence, 574) - Hardcover

Book 93 of 538: Studies in Computational Intelligence
 
9783319109596: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications: 574 (Studies in Computational Intelligence, 574)

Synopsis

This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.

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From the Back Cover

This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.

"About this title" may belong to another edition of this title.

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9783319385464: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications: 574 (Studies in Computational Intelligence, 574)

Featured Edition

ISBN 10:  3319385461 ISBN 13:  9783319385464
Publisher: Springer, 2016
Softcover