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Title Fuzzy logic augmentation of nature-inspired optimization metaheuristics : theory and applications / Oscar Castillo, Patricia Melin, editors
Published Cham : Springer, [2014]
©2015

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Description 1 online resource (viii, 195 pages) : illustrations
Series Studies in Computational Intelligence, 1860-949X ; volume 574
Studies in computational intelligence ; v. 574. 1860-949X
Contents Intro; Preface; Contents; Part I Theory; 1 Fuzzy Logic for Dynamic Parameter Tuning in ACO and Its Application in Optimal Fuzzy Logic Controller Design; Abstract; 1 Introduction; 2 Ant Colony Optimization (ACO); 3 Performance Analysis of ACO; 4 Fuzzy Logic Convergence Controller; 5 Simulation in TSP Problems; 6 Fuzzy Trajectory Controller for a Unicycle Mobile Robot; 7 ACO for Membership Functions Optimization; 8 ASRank + ConvCont for Membership Functions Optimization; 9 Simulation in Membership Functions Optimization Problem; 10 ASRank + ConvCont vs. S-ACO; 11 Conclusions; References
2 Fuzzy Classification System Design Using PSO with Dynamic Parameter Adaptation Through Fuzzy LogicAbstract; 1 Introduction; 2 Methodology for Parameter Adaptation; 3 Experimentation with the Fuzzy Systems and the Benchmark Mathematical Functions; 4 Statistical Comparison; 5 Fuzzy Classifier Design; 6 Methodology for Designing Fuzzy Classifiers; 7 Experimentation in the Design of Fuzzy Classifiers; 8 Statistical Comparison for Fuzzy Classifiers; 9 Conclusions; References; 3 Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers; Abstract
1 Introduction2 Differential Evolution; 2.1 Population Structure; 2.2 Initialization; 2.3 Mutation; 2.4 Crossover; 2.5 Selection; 3 Proposed Method; 4 Benchmark Function; 5 Fuzzy System; 6 Experiments and Methodology; 7 Simulation Results; 8 Conclusions; References; 4 A New Bat Algorithm with Fuzzy Logic for Dynamical Parameter Adaptation and Its Applicability to Fuzzy Control Design; Abstract; 1 Introduction; 2 Bat Algorithm; 2.1 Rules of Bats; 2.2 Pseudocode for the Bat Algorithm; 2.3 Movements in the Bat Algorithm; 2.4 Loudness and Pulse Rates; 3 Genetic Algorithms; 3.1 Representation
3.2 Crossover Operations3.3 Mutation; 4 Benchmark Mathematical Functions; 5 Results Between GA and the Bat Algorithm; 6 Proposed Method; 7 Bat Algorithm Apply to the Inverted Pendulum; 8 Conclusions; Acknowledgments; References; 5 Optimization of Benchmark Mathematical Functions Using the Firefly Algorithm with Dynamic Parameters; Abstract; 1 Introduction; 2 Firefly Algorithm; 2.1 Attractiveness; 2.2 Distance; 2.3 Movement; 3 Methodology for Parameter Adaptation; 4 Experimentation with Benchmark Mathematical Functions; 5 Conclusion
6 Cuckoo Search via L00E9vy Flights and a Comparison with Genetic AlgorithmsAbstract; 1 Introduction; 2 Cuckoo Search Algorithm; 2.1 Variants; 2.2 L00E9vy Flights; 2.3 Pseudo Code for Cuckoo Search Algorithm; 2.4 Generate a New Solution; 3 Genetic Algorithms; 3.1 Representation -- the Chromosome; 3.2 Crossover Operations; 3.3 Mutation; 4 Benchmark Mathematical Functions; 5 Simulation Results; 5.1 Simulation Results with the Cuckoo Search Algorithm; 5.2 Simulation Results with The Genetic Algorithm (GA); 6 Conclusions; Acknowledgment; References
Summary 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
Analysis engineering
computational science
kunstmatige intelligentie
artificial intelligence
Engineering (General)
Techniek (algemeen)
Notes Online resource; title from PDF title page (SpringerLink, viewed October 2, 2014)
Subject Fuzzy logic.
Mathematical optimization.
Artificial intelligence.
Computers -- Intelligence (AI) & Semantics.
Fuzzy logic
Mathematical optimization
Form Electronic book
Author Castillo, Oscar, 1959- editor.
Melin, Patricia, 1962- editor.
ISBN 9783319109602
331910960X
3319109596
9783319109596