English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51296/86402 (59%)
Visitors : 8162487      Online Users : 94
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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

    Files in This Item:

    File SizeFormat
    Combined Fuzzy-Evolution Method for Multi-Objective Optimization_英文摘要.docx15KbMicrosoft Word72View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback