Castillo / Melin Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Theory and Applications
Erscheinungsjahr 2014
ISBN: 978-3-319-10960-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 574, 195 Seiten, eBook

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Castillo, Oscar

Melin, Patricia

Inhaltsverzeichnis

Theory.- Applications.