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Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications

โœ Scribed by Oscar Castillo, Patricia Melin (eds.)

Publisher
Springer International Publishing
Year
2015
Tongue
English
Leaves
193
Series
Studies in Computational Intelligence 574
Edition
1
Category
Library
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โœฆ Synopsis

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.

โœฆ Table of Contents

Front Matter....Pages i-viii
Front Matter....Pages 1-1
Fuzzy Logic for Dynamic Parameter Tuning in ACO and Its Application in Optimal Fuzzy Logic Controller Design....Pages 3-28
Fuzzy Classification System Design Using PSO with Dynamic Parameter Adaptation Through Fuzzy Logic....Pages 29-47
Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers....Pages 49-63
A New Bat Algorithm with Fuzzy Logic for Dynamical Parameter Adaptation and Its Applicability to Fuzzy Control Design....Pages 65-79
Optimization of Benchmark Mathematical Functions Using the Firefly Algorithm with Dynamic Parameters....Pages 81-89
Cuckoo Search via Lรฉvy Flights and a Comparison with Genetic Algorithms....Pages 91-103
A Harmony Search Algorithm Comparison with Genetic Algorithms....Pages 105-123
Front Matter....Pages 125-125
A Gravitational Search Algorithm for Optimization of Modular Neural Networks in Pattern Recognition....Pages 127-137
Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction....Pages 139-149
Clustering Bin Packing Instances for Generating a Minimal Set of Heuristics by Using Grammatical Evolution....Pages 151-162
Comparative Study of Particle Swarm Optimization Variants in Complex Mathematics Functions....Pages 163-178
Optimization of Modular Network Architectures with a New Evolutionary Method Using a Fuzzy Combination of Particle Swarm Optimization and Genetic Algorithms....Pages 179-195

โœฆ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)

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