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題名 Integrated genetic algorithm and goal programming for network topology design problem with multiple objectives and multiple criteria
作者 Wang, Cheng-Su
王貞淑
貢獻者 資管系
關鍵詞 algorithms; design; design studies; genetic algorithm; goal programming; heuristic methods; network topology; network topology design
日期 2008-06
上傳時間 19-八月-2015 16:55:38 (UTC+8)
摘要 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.
關聯 International conference on Industrial, engineering, and other applications of applied intelligent systems, 2008, 680-690
資料類型 conference
DOI http://dx.doi.org/10.1109/TNET.2007.903996
dc.contributor 資管系-
dc.creator (作者) Wang, Cheng-Su-
dc.creator (作者) 王貞淑-
dc.date (日期) 2008-06-
dc.date.accessioned 19-八月-2015 16:55:38 (UTC+8)-
dc.date.available 19-八月-2015 16:55:38 (UTC+8)-
dc.date.issued (上傳時間) 19-八月-2015 16:55:38 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/77737-
dc.description.abstract (摘要) 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.-
dc.format.extent 1335321 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) International conference on Industrial, engineering, and other applications of applied intelligent systems, 2008, 680-690-
dc.subject (關鍵詞) algorithms; design; design studies; genetic algorithm; goal programming; heuristic methods; network topology; network topology design-
dc.title (題名) Integrated genetic algorithm and goal programming for network topology design problem with multiple objectives and multiple criteria-
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/TNET.2007.903996-
dc.doi.uri (DOI) http://dx.doi.org/10.1109/TNET.2007.903996-