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Please use this identifier to cite or link to this item: https://ah.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
王貞淑
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 link: http://dx.doi.org/10.1109/TNET.2007.903996
Appears in Collections:[Department of Computer Science ] Proceedings

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