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

  • 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
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.
Published
2021-10-20
Section
Articles