Proposta de um algoritimo evolucionário nebuloso para a solução de problemas de otimização multiobjetivo

Abstract

Multiobjective Optimization plays a major role in Optimization researches. In such area, evolutionary algorithms have gained special highlight, mainly due to the easiness to handle complex problems and the quality of the solutions found. Based on this, we propose Fuzzy-DE (Fuzzy-based Differential Evolution Algorithm), a new multiobjective evolutionary algorithm that incorporates concepts of Fuzzy Systems and Differential Evolution to handle constrained and unconstrained problems. The main goal is to address a large range of problems without the need to do major changes in its structure, making it very generalist. Moreover, tests showed competitive results and a low computational cost, when compared to other existing methods.