Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Frumen Olivas, Fevrier Valdez, Oscar Castillo, Patricia Melin (Autoren)

Buch | Softcover

VII, 105 Seiten

2018
Springer International Publishing (Verlag)
9783319708508 (ISBN)

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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.

Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.

Erscheinungsdatum	06.04.2018
Reihe/Serie	SpringerBriefs in Applied Sciences and Technology
Reihe/Serie	SpringerBriefs in Computational Intelligence
Zusatzinfo	VII, 105 p. 25 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	190 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Computational Intelligence • Fuzzy Systems • Hybrid Systems • Intelligent Systems • Type 2 Fuzzy Logic
ISBN-13	9783319708508 / 9783319708508
Zustand	Neuware