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CUI Xiao-yan, LI Xu-hong, MAO Hai-jun, ZHANG Yong, YANG Ping-le. Parallel ant colony optimization of location problem for limited single allocation hub[J]. Journal of Traffic and Transportation Engineering, 2011, 11(3): 74-81. doi: 10.19818/j.cnki.1671-1637.2011.03.013
Citation: CUI Xiao-yan, LI Xu-hong, MAO Hai-jun, ZHANG Yong, YANG Ping-le. Parallel ant colony optimization of location problem for limited single allocation hub[J]. Journal of Traffic and Transportation Engineering, 2011, 11(3): 74-81. doi: 10.19818/j.cnki.1671-1637.2011.03.013
shu

Parallel ant colony optimization of location problem for limited single allocation hub

doi: 10.19818/j.cnki.1671-1637.2011.03.013
  • 1.

    School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China

  • 2.

    School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhangjiagang 215600, Jiangsu, China

More Information
  • Author Bio:

    CUI Xiao-yan(1981-), female, doctoral student, +86-25-83689832, cxy_198153@yahoo.com.cn

    LI Xu-hong(1963-), male, professor, PhD, +86-25-83793685, lixuhong@seu.edu.cn

  • Received Date: 2011-01-26
  • Publish Date: 2011-06-25
    Abstract
  • The characteristics of location problem for limited single allocation hub were analyzed. The sum of total network transportation costs and fixed facility costs was taken as the minimum objective function, and a mixed integer linear programming model with fewer variables was set up. Parallel ant colony optimization (P-ACO) was used to solve the model, and correlative simulation test was carried out combined with Australia post data. Calculation result indicates that for the most difficult problem with 50 nodes and double tight constraints, the computational time of proposed model is 3.59 s, which is minimum compared with the other algorithms, and the calculation errors are not more than 0.09%. So, P-ACO has good solution efficiency and calculational stability.

     

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