Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics
Theory and Applications
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Beschreibung
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.
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.
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
Autor*in
Oscar Castillo
Themen in »Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics«
Fuzzy Logic Fuzzy Logic Augmentation Intelligent Control and Robotics Nature-Inspired Optimization Metaheuristics Optimization of Complex Problems Pattern Recognition Time Series Prediction
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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)
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