Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics - Theory and Applications (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 574
Release date:	October 2014
First published:	2015
Editors:	Oscar Castillo • Patricia Melin
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	195
Edition:	2015 ed.
ISBN-13:	978-3-319-10959-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-10959-6
Barcode:	9783319109596

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