Implementação de Mecanismos de Ajuste de Parâmetros de Controle do Otimizador do Lobo Cinzento Multiobjetivo via Lógica Nebulosa

Allan Christian Krainski Ferrari; Gideon Villar Leandro; Leandro dos Santos Coelho; Carlos Alexandre Gouvea da Silva; Douglas Antonio Firmino Pelacini; Cristiano Osinski

doi:10.20906/sbai.v1i1.2737

Allan Christian Krainski Ferrari Centro Universitário UNIFACEA, Araucária, Paraná
Gideon Villar Leandro Universidade Federal do Paraná UFPR, Curitiba, Paraná
Leandro dos Santos Coelho Universidade Federal do Paraná UFPR, Curitiba, Paraná
Carlos Alexandre Gouvea da Silva Centro Universitário UNIFACEA, Araucária, Paraná
Douglas Antonio Firmino Pelacini Centro Universitário UNIFACEA, Araucária, Paraná
Cristiano Osinski Universidade Federal do Paraná UFPR, Curitiba, Paraná

DOI: https://doi.org/10.20906/sbai.v1i1.2737

Keywords: metaheuristics, multi-objective optimization, wolf optimizer, fuzzy systems, Pareto

Abstract

The Multi-Objective Grey Wolf Optimizer (MOGWO) is a recent metaheuristic in solving multi-objective problems. This article implements two mechanisms for adjusting the control parameters of the MOGWO. The techniques are based on fuzzy logic and were originally proposed to improve the convergence of the single-objective version of the MOGWO. To evaluate the two fuzzy implementations, five multiobjective test problems were used, where each algorithm was submitted to a sequence of ten runs. The inverted generational distance was used as a metric for the comparison and evaluation of the algorithms. The results show that the two fuzzy mechanisms improve the convergence of the MOGWO.