English  |  正體中文  |  简体中文  |  Items with full text/Total items : 88272/117759 (75%)
Visitors : 23394049      Online Users : 107
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/75471
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75471


    Title: A hybrid particle swarm optimization algorithm with diversity for flow-shop scheduling problem
    Authors: Chen, Chuenlung
    陳春龍
    Contributors: 資訊管理學系
    Keywords: Attractive and repulsive particle swarm optimization (ARPSO);Diversity-guided search;Encoding schemes;Flow shop scheduling problem;Guided search;Hybrid particle swarm optimization algorithm;Hybrid PSO;Makespan;Premature convergence;Scheduling algorithms;Particle swarm optimization (PSO)
    Date: 2009-12
    Issue Date: 2015-06-01 17:24:26 (UTC+8)
    Abstract: This paper proposed a hybrid particle swarm optimization algorithm (Shadow hybrid PSO, SHPSO) to solve the flow-shop scheduling problem (FSSP). SHPSO adopts the idea of Kuoa's HPSO model[4] by not only combines the random-key (RK) encoding scheme, individual enhancement (IE) scheme, but also adds the diversification mechanism such as ARPSO model and competitive shadow particles to prevent premature convergence. Computation experiments results of Taillard's [10] seven representative instances of FSSP show that the SHPSO perform close to HPSO for FSSP to minimize makespan. Further recommendations and improved ideas will be discussed later in this paper. © 2009 IEEE.
    Relation: 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009,864-867
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/ICICIC.2009.21
    DOI: 10.1109/ICICIC.2009.21
    Appears in Collections:[資訊管理學系] 會議論文

    Files in This Item:

    There are no files associated with this item.



    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback