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Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Theory and Applications

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 and Applications Oscar Castillo, Patricia Melin. Table 12 Simulation
results for the sum squared function Bat algorithm Fuzzy Bat algorithm Number of
bats Best Number of bats Best 30 0.000006 10 0.00899885 The results of the
tests of the Sum Squared function between the original method and the proposed
one taking the best result of 30 experiments for each method are shown in Table
12.