Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Theory and Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics by , Springer International Publishing
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Author: ISBN: 9783319109602
Publisher: Springer International Publishing Publication: September 20, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783319109602
Publisher: Springer International Publishing
Publication: September 20, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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