Abstract
AbstractFor decision support under a multiobjective environment, it is effective to offer a Pareto optimal solution set with uniform distribution to the decision‐maker. In this paper, a new optimization method for obtaining a Pareto optimal solution set with such uniform distribution is proposed. In order to overcome the difficulty of realizing this goal, the concept of cannibalism is introduced in BUGS (a bug‐based search strategy using genetic algorithms). Introducing the concept of cannibalism achieves the uniform distribution of Pareto optimal solutions. A numerical experiment using typical continuous and discrete multiobjective optimization problems clarifies the usefulness of the proposed method. © 2002 Scripta Technica, Electr Eng Jpn, 139(1): 51–64, 2002; DOI 10.1002/eej.1146
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