• DocumentCode
    1596486
  • Title

    A Modified Genetic Algorithm for the Postal Vehicle Scheduling Problem

  • Author

    Wu, XiuLi ; Li, Sujian

  • Author_Institution
    Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    The postal vehicle scheduling problem plays an important role in the post services management. Firstly, the formulation of the postal vehicle scheduling problem is proposed. Secondly, a modified genetic algorithm is put forward. In the algorithm, an encoding ways with trip delimiters are designed. Roulette selection method integrated with elitist strategy is used to select the better chromosomes to generate a new population. The crossover procedure and the mutation procedure are discussed to satisfy the special encoding ways. Finally, the experiment with the benchmark instances shows the effectiveness and efficiency of the proposed approach with which the postal vehicle scheduling problem can be solved easily.
  • Keywords
    genetic algorithms; postal services; scheduling; transportation; crossover procedure; elitist strategy; genetic algorithm; mutation procedure; post services management; postal vehicle scheduling problem; roulette selection; Algorithm design and analysis; Biological cells; Educational institutions; Encoding; Genetic algorithms; Postal services; Vehicles; genetic algorithm; the post services management; vehicle scheduling problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4577-0676-9
  • Type

    conf

  • DOI
    10.1109/IHMSC.2011.38
  • Filename
    6038164