• DocumentCode
    3317456
  • Title

    Optimization of postal express mail network based on swarm intelligence

  • Author

    Song, Qing ; Wang, Xiaofan ; Li, Xiaolei ; Chengjin Zhang

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    591
  • Lastpage
    596
  • Abstract
    Postal express mail network construction is critical in the operation of postal express delivery industry. A lexicographic order linear programming model is formulated to realize the fastest transfer of mails and minimize the network construction costs. A new swarm intelligence scheme based on route planning agent model is proposed to analyze and solve the optimization problem. By embedding the agents into the system model, an optimal express mail network will ultimately be emerged via the agents´ group activities. Experimental results show the effectiveness of the proposed method.
  • Keywords
    artificial intelligence; cost reduction; linear programming; multi-agent systems; particle swarm optimisation; postal services; lexicographic order linear programming model; network construction cost minimization; postal express delivery industry; postal express mail network optimization; route planning agent model; swarm intelligence; Construction industry; Costs; Dispatching; Frequency; Linear programming; Particle swarm optimization; Postal services; Roads; Sorting; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400879
  • Filename
    5400879