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Fuzzy Logic Augmentation of Nature-I...
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Melin, Patricia.
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics = Theory and Applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics/ edited by Oscar Castillo, Patricia Melin.
其他題名:
Theory and Applications /
其他作者:
Castillo, Oscar.
面頁冊數:
VIII, 195 p. 98 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-10960-2
ISBN:
9783319109602
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics = Theory and Applications /
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics
Theory and Applications /[electronic resource] :edited by Oscar Castillo, Patricia Melin. - 1st ed. 2015. - VIII, 195 p. 98 illus.online resource. - Studies in Computational Intelligence,5741860-949X ;. - Studies in Computational Intelligence,564.
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
Standard No.: 10.1007/978-3-319-10960-2doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics = Theory and Applications /
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