Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Theory and Applications

Oscar Castillo, Patricia Melin (Herausgeber)

Buch | Hardcover

VIII, 195 Seiten

2014
Springer International Publishing (Verlag)
978-3-319-10959-6 (ISBN)

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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.

Theory.- Applications.

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)

Erscheint lt. Verlag	1.10.2014
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	VIII, 195 p. 98 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	473 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Fuzzy Logic • Fuzzy Logic Augmentation • Intelligent Control and Robotics • Nature-Inspired Optimization Metaheuristics • Optimization of Complex Problems • pattern recognition • Time series prediction
ISBN-10	3-319-10959-6 / 3319109596
ISBN-13	978-3-319-10959-6 / 9783319109596
Zustand	Neuware