This paper presents a combined fuzzy-evolution method formulti-objective optimization. Firstly, the objective functions of theoptimization problem are modeled with fuzzy sets to represent theirimprecise nature. That also enables us to reduce the inaccuracies indecision-makers' judgments. The concept of non-inferiority is employedto characterize a solution of the multi-objective problem . Then, afuzzy satisfied method based on evolutionary programming is introducedto determine the optimal solution. On the basis of the proposedmethod, a time-sharing computer program is implemented. And anapplication to a multi-objective operation problem in feederreconfiguration in electric power systems is demonstrated along withthe computer outputs.
中華民國第八屆模糊理論及其應用會議論文集=Proceedings of the 8th National Conference on Fuzzy Theory and Its Application，頁144-149