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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95991


    Title: Combined Fuzzy-Evolution Method for Multi-Objective Optimization
    Authors: Chien, Ching-Yang;Hsiao, Ying-Tung;Chen, Chia-Hong;Huang, Tsong-Liang
    Contributors: 淡江大學電機工程學系
    Keywords: 模糊集合理論;多目標規劃;演變規劃;饋線重組;Fuzzy Set Theory;Multi-Objective Programming;Evolution Programming;Feeder Reconfiguration
    Date: 2000-12
    Issue Date: 2014-02-13 11:31:50 (UTC+8)
    Abstract: 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.
    Relation: 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
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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