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Zou Qun, Yu An-jun, Zou Guo-ping. Hybrid genetic optimization method of pavement maintenance decision-making for expressway[J]. Journal of Traffic and Transportation Engineering, 2007, 7(4): 63-66.
Citation: Zou Qun, Yu An-jun, Zou Guo-ping. Hybrid genetic optimization method of pavement maintenance decision-making for expressway[J]. Journal of Traffic and Transportation Engineering, 2007, 7(4): 63-66.
shu

Hybrid genetic optimization method of pavement maintenance decision-making for expressway

  • 1.

    Department of Hydraulic and Civil Engineering, Nanchang Institute of Technology, Nanchang 330029, Jiangxi, China

  • 2.

    Jiangxi Ganyue Expressway Co.Ltd., Nanchang 330025, Jiangxi, China

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  • Author Bio:

    Zou Qun(1968-), female, lecturer, + 86-791-6526386, nczqun@yahoo.com.cn

  • Received Date: 2006-12-19
  • Publish Date: 2007-08-25
    Abstract
  • In order to improve the efficiency and stability of pavement maintenance decision-making for expressway, reduce the cost of pavement maintenance, the applicabilities of traditional mathematics programming method and genetic algorithm were analyzed, pseudo-parallel tactic, optimum preservation tactic and self-adapted parameter adjustment were introduced, and a hybrid genetic optimization method of pavement maintenance decision-making for expressway was put forward.Simulation result shows that the convergence speed and searching ability of the method were better than that of simple genetic algorithm, the premature convergence of pavement maintenance decision-making was overcome, the optimum allocations of maintenance funds were realized aimed at the multi-projects of pavement maintenance, and the investment is infinite, so the method effectively solves the optimization problem of pavement maintenance decision-making for expressway.3 tabs, 11 refs.

     

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    • References(11)
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    Xiong Hui, Shi Qi-xin, Pan Xian-bang. Research progress and trend of pavement management[J]. China Civil Engineering Journal, 2004, 37(1): 67-68. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC200401011.htm
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