• DocumentCode
    1592645
  • Title

    A novel method for multiple depot and open paths, Multiple Traveling Salesmen Problem

  • Author

    Xiaobin Wang ; Daibo Liu ; Mengshu Hou

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    Travelling Salesman Problem (TSP) is a typical combinatorial optimization problem. Multiple Travelling Salesmen Problem (MTSP) is a generalization of the TSP, and seems more appropriate for real-life application. Although there exists a great mount of literature for solving TSP, the research on MTSP is limited. This paper proposes a new method which is based on the knowledge of Graph Theory to solve a heterogeneity of MTSP with multiple depots and open paths (marked as mdop). A simple model SModel is proposed to implement the mdop by transforming a complicate graph into a simplified graph with a small number of edges. During the operation of generating SModel, high weighted edges are removed preferentially as possible. Since mdop is implemented based on the SModel, it can be guaranteed that the final result is superior. By the experimental results, it is shown that the new solution is efficient.
  • Keywords
    graph theory; optimisation; travelling salesman problems; MDOP; MTSP; SModel; combinatorial optimization problem; graph theory; multiple depot and open path; multiple traveling salesmen problem; Educational institutions; Genetic algorithms; Informatics; Joining processes; Machine intelligence; Optimization; Scheduling; combinatorial optimization problem; multiple depots; multiple traveling salesmen problem (MTSP); open paths;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2013 IEEE 11th International Symposium on
  • Conference_Location
    Herl´any
  • Print_ISBN
    978-1-4673-5928-3
  • Electronic_ISBN
    978-1-4673-5927-6
  • Type

    conf

  • DOI
    10.1109/SAMI.2013.6480972
  • Filename
    6480972