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Fuzzy logic augmentation of nature-inspired optimization metaheuristics[electronic resource] :Theory and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	511.313
書名/作者:	Fuzzy logic augmentation of nature-inspired optimization metaheuristics : Theory and Applications // edited by Oscar Castillo, Patricia Melin.
其他作者:	Castillo, Oscar.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	viii, 195 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy logic.
標題:	Mathematical optimization.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319109602 (electronic bk.)
ISBN:	9783319109596 (paper)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-10960-2

Fuzzy logic augmentation of nature-inspired optimization metaheuristics[electronic resource] :Theory and Applications /
Fuzzy logic augmentation of nature-inspired optimization metaheuristicsTheory and Applications /[electronic resource] :edited by Oscar Castillo, Patricia Melin. - Cham :Springer International Publishing :2015. - viii, 195 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.5741860-949X ;. - Studies in computational intelligence ;v.379..

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.

ISBN: 9783319109602 (electronic bk.)

Standard No.: 10.1007/978-3-319-10960-2doiSubjects--Topical Terms:

182737
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Fuzzy logic augmentation of nature-inspired optimization metaheuristics[electronic resource] :Theory and Applications /
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520 $a 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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