Summary and Info
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.
More About the Author
Oscar Aníbal Castillo (born 18 January 1954) is an Argentine Radical Civic Union (UCR) politician, currently a Senator for the Civic and Social Front of Catamarca and a former governor of that province.
Review and Comments
Rate the Book
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications 0 out of 5 stars based on 0 ratings.