Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic / by Frumen Olivas, Fevrier Valdez, Oscar Castillo, Patricia Melin.
Olivas, Frumen, author.; Valdez, Fevrier, author.; Castillo, Oscar, author.; Melin, Patricia, 1962- author.
2018
Q342
Available Online

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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
DOI https://doi.org/10.1007/978-3-319-70851-5
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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Valdez, Fevrier, author.
Castillo, Oscar, author.
Melin, Patricia, 1962- author.
Series SpringerBriefs in applied sciences and technology.
Available in Other Form Print version: 9783319708508
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Introduction
Theory and Background
Problems Statement
Methodology
Simulation Results
Statistical Analysis and Comparison of Results.

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