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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/77737
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/77737

    Title: Integrated genetic algorithm and goal programming for network topology design problem with multiple objectives and multiple criteria
    Authors: Wang, Cheng-Su
    Contributors: 資管系
    Keywords: algorithms;design;design studies;genetic algorithm;goal programming;heuristic methods;network topology;network topology design
    Date: 2008-06
    Issue Date: 2015-08-19 16:55:38 (UTC+8)
    Abstract: Network topology design (NTD) with multiple objectives has been presented by many researchers. However, no work in the literature has addressed this issue with both multiple objectives and multiple criteria. In order to suit real-world situations, this paper presents a new idea integrating genetic algorithm and goal programming to establish a model for solving the NTD problem with multiple objectives and multiple criteria taken into consideration. In addition, the proposed model can also solve both construct and extend network topology problems under shared risk link group (SRLG) constraints. Finally, illustrative examples are included to demonstrate the superiority and usefulness of the proposed method.
    Relation: International conference on Industrial, engineering, and other applications of applied intelligent systems, 2008, 680-690
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/TNET.2007.903996
    DOI: 10.1109/TNET.2007.903996
    Appears in Collections:[資訊科學系] 會議論文

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