Proposal of Cannibalism Bug Based Search Strategy using Genetic Algorithms (C-BUGS) and Its Application to Multi-Objective Optimization Problem

Abstract

For the decision Support under a multi-objective environment, it is effective to offer Pareto optimal solution subset with the uniform distribution to decision-maker. In this paper, a new optimization method in which the concept of the cannibalism is introduced in BUGS (A Bug Based Search Strategy using Genetic Algorithms) is proposed. The introduction of the concept of the cannibalism realizes the uniform distribution of Pareto optimal solutions. The numerical experiment using typical continuous and discrete multi-objective optimization problems clarifies the usefulness of the proposed method.