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            當前位置:首頁 > 優秀論文
            全終端網絡成本優化問題的改進蟻群算法研究
            作者:劉艷秋1a,杜嬌嬌1b
            來源:本站原創
            更新時間:2011/9/13 15:28:00
            正文:
            (1沈陽工業大學 a.運籌與控制研究所,b.信息科學與工程學院,遼寧沈陽 110870)
             
            摘  要:分析了全終端網絡成本優化問題中的尋優效果和尋優速度問題,結合了泰國學者Kanyapat Watcharasitthiwat在解決網絡優化問題的建模思想,利用成本最小化模型實施優化。根據該優化模型的特點,給出了改進蟻群算法(I-ACA),并利用該優化算法解決了全終端網絡成本優化問題。仿真驗證結果表明,該優化算法不僅有效,且與文獻[5]中的優化方法相比具有尋優效果佳、尋優速度快的特點。尤其針對計算大型復雜全終端網絡優化問題具有較好的實用價值。
            關鍵詞:全終端;網絡;可靠度;優化模型;改進蟻群算法
            中圖分類號:TP393       文獻標識碼:A
             
            An ant colony algorithm based on meshing strategy for reliability optimization of all-terminal
            network
            LIU Yan-qiu, DU Jiao-jiao
            Research Institute of Operation and Control, Shenyang University of Technology
             Shenyang 110870, China
            Abstract: Analyzing optimization results and the optimization speed in the problem of all-terminal network reliability optimization design. Reference to the optimization modeling idea used by Kanyapat Watcharasitthiwat, a cost minimization model will be used in the optimization problem, According to the characteristics of the optimization model, proposing an improvement ant colony algorithm (I-ACA) solves the solutions. The simulation results show that the algorithm is more effective than the one in literature[5], for it can get a better solution and speed rapidly. The algorithm is suitable for the problem of complex all-terminal network optimization.
            Key words: all-terminal;network; reliability;optimization model;improvement ant colony algorithm;
             
             

            參考文獻 (References)
            [1] Dengiz B, Altiparmak F and smith A.E.,“Efficient optimization of all-terminal Reliability Reliable networks using an evolutionary approach”, IEEE transactions on Reliability 1997,41(1):18-26.
            [2] Jan, Rong-Hong., Hwang, Fung-Jen. and Chen, Sheng-Tzong., Topology optimization of a communication network subject to a reliability constraint. IEEE Trans Reliab. 1993;42(1): 63-70.
            [3] 劉艷秋,宮照廣,辛雪婷.基于全終端可靠度的網絡整體退火GA設計[J].沈陽工業大學學報.2007,29(2):165-167.
            (liu Yan-qiu, Gong Zhao-guang,Xin Xue-ting. Overall annealing GA design of networks based on all-terminal reliability[J]. Journal of Naval University of Engineering, 2007, 29(2):165-167.)
            [4] 劉艷秋,劉君,張穎.遺傳算法在計算機網絡可靠度優化計算中的應用[J].沈陽工業大學學報,2006,13(1):102─106.
            (Liu Yian-qiu, Liu Jun, Zhang Ying.Genetic algorithm based reliability optimization for communication network design[J] Journal of Naval University of Engineering, 2001,13(6):102─106.)
            [5]Kanyapat Watcharasitthiwat, Paramote Wardkein.“Reliability optimization of topology communication network design using an improved ant colony optimization ”, Computer and Electrical Engineering. 2009,35(2009):730-747.
            [6]王朝瑞.圖論[M].北京:北京理工大學出版社,2001.
            (WANG Chao-rui. Graph Theory [M].Beijing:Beijing University of Science and Technology Press,2001)
            [7] Politof Th, Satyanarayana A.A linear time algorithm to Compute the reliability of planar cube free networks. IEEE. trans Reliability,1990,39(12):557~563.
            [8]Konak A , Smith A E. An improved general upper
            bound for all2terminal network reliability [ EB/ OL ] .[2005 - 12 - 15 ] . www. pitt . edu/ aesmith/ postscript/bound. pdf .
            [9]段海濱.蟻群算法原理及其應用[M].北京:科學出版社, 2005.
                (Duan Hai-bing.Ant Conlony Algorithms:Theroy and Application [M].Beijing: Science Press,2005)
            [10]高尚,楊靜宇,吳小俊,等.可靠性優化的蟻群算法[J].計算機應用與軟件,2004, 21 12: 94-96.
            (Gao Shang,,Yang Jing-yu,Wu Xiao-jun. Ant Colony for Optimization of System Reliability [J]. Computer Applications and Software, 2004, 21 12: 94-96.)
             

             
             
             
            基金項目:遼寧省科技計劃項目(2009216014);沈陽市科技計劃項目(1091177-1-00).
            作者簡介:劉艷秋( 1963- ) ,吉林省四平人, 教授, 博士, 主要從事復雜系統建模、優化算法等方面的研究.
             
            作者簡介:劉艷秋( 1963- ) ,吉林省四平人, 教授, 博士, 主要從事復雜系統建模、優化算法等方面的研究.
             
             
               
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