Editors:
- Describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics
- Includes various 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 focusing on theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics (part 1) , as well as application of optimization algorithms (part 2)
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 574)
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Table of contents (12 chapters)
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Front Matter
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Theory
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Front Matter
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Applications
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Front Matter
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About this book
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.
Reviews
From the book reviews:
“This book presents recent developments in a specific area of computational intelligence, namely fuzzy logic augmentation of nature-inspired optimization metaheuristics and their applications. … the book is very interesting for those working in the field of computational intelligence. It will be useful for the researchers and practitioners working in this area of research.” (Petrica Pop, Computing Reviews, February, 2015)
Editors and Affiliations
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Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico
Oscar Castillo, Patricia Melin
Bibliographic Information
Book Title: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics
Book Subtitle: Theory and Applications
Editors: Oscar Castillo, Patricia Melin
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-10960-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-10959-6Published: 01 October 2014
Softcover ISBN: 978-3-319-38546-4Published: 10 September 2016
eBook ISBN: 978-3-319-10960-2Published: 20 September 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 195
Number of Illustrations: 98 b/w illustrations