Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic / by Frumen Olivas, Fevrier Valdez, Oscar Castillo, Patricia Melin.
2018
Q342
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Title
Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic / by Frumen Olivas, Fevrier Valdez, Oscar Castillo, Patricia Melin.
Author
Olivas, Frumen, author.
ISBN
9783319708515 (electronic book)
3319708511 (electronic book)
9783319708508
3319708503
3319708511 (electronic book)
9783319708508
3319708503
Published
Cham : Springer International Publishing : Imprint: Springer, 2018.
Language
English
Description
1 online resource (vii, 105 pages) : illustrations.
Item Number
10.1007/978-3-319-70851-5 doi
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected to be adjusted. With this modification of parameters we want to find a better model of the behavior of the optimization method, because with the modification of parameters, these will affect directly the way in which the global or local search are performed. Three different optimization methods were used to verify the improve-ment of the proposed methodology. In this case the optimization methods are: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), where some parameters are se-lected to be dynamically adjusted, and these parameters have the most im-pact in the behavior of each optimization method. Simulation results show that the proposed methodology helps to each optimization method in obtaining better results than the results obtained by the original method without parameter adjustment.
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Includes bibliographical references and index.
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text file PDF
Series
SpringerBriefs in applied sciences and technology.
Available in Other Form
Print version: 9783319708508
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Table of Contents
Introduction
Theory and Background
Problems Statement
Methodology
Simulation Results
Statistical Analysis and Comparison of Results.
Theory and Background
Problems Statement
Methodology
Simulation Results
Statistical Analysis and Comparison of Results.