Fuzzy logic augmentation of nature-inspired optimization metaheuristics [electronic resource] : theory and applications / Oscar Castillo, Patricia Melin, editors.
2014
QA9.64
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Title
Fuzzy logic augmentation of nature-inspired optimization metaheuristics [electronic resource] : theory and applications / Oscar Castillo, Patricia Melin, editors.
ISBN
9783319109602 electronic book
331910960X electronic book
9783319109596
331910960X electronic book
9783319109596
Published
Cham : Springer, [2014]
Copyright
©2015
Language
English
Description
1 online resource (viii, 195 pages) : illustrations.
Item Number
10.1007/978-3-319-10960-2 doi
Call Number
QA9.64
Dewey Decimal Classification
511.3/13
Summary
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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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 2, 2014).
Series
Studies in computational intelligence ; v.574.
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