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Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications: Studies in Computational Intelligence, cartea 574

Editat de Oscar Castillo, Patricia Melin
en Limba Engleză Hardback – oct 2014
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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Specificații

ISBN-13: 9783319109596
ISBN-10: 3319109596
Pagini: 250
Ilustrații: VIII, 195 p. 98 illus.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Theory.- Applications.

Recenzii

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)

Textul de pe ultima copertă

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.

Caracteristici

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