• DocumentCode
    2560535
  • Title

    The continuous selective generalized traveling salesman problem: An efficient ant colony system

  • Author

    Lian-Ming, Mou

  • Author_Institution
    Key Lab. of Numerical Simulation of Sichuan Province, Neijiang Normal Univ., Neijiang, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1242
  • Lastpage
    1246
  • Abstract
    The Generalized Traveling Salesman Problem (GTSP) extends the classical Traveling Salesman Problem (TSP) and has many interesting applications. In this paper we propose a Continuous Selective Generalized Traveling Salesman Problem (CSGTSP), and the existing GTSP is only a special case of the CSGTSP. To solving it effectively, we extend the ant colony system method from TSP to CSGTSP. Meanwhile, to speed up the convergence and improve the quality of solution, a constrained local searching technique is introduced into this method according to the characteristic of the CSGTSP. Experimental results on numerous TSPLIB instances show that the proposed method can deal with the CSGTSP fairly well, and the developed local searching technique is significantly effective.
  • Keywords
    ant colony optimisation; convergence; search problems; travelling salesman problems; CSGTSP; TSPLIB; ant colony system; constrained local search technique; continuous selective generalized traveling salesman problem; convergence; Algorithm design and analysis; Clustering algorithms; Convergence; Genetic algorithms; Operations research; Partitioning algorithms; Traveling salesman problems; ACS; CSGTSP; GTSP; constrained local searching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2012 Eighth International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4577-2130-4
  • Type

    conf

  • DOI
    10.1109/ICNC.2012.6234747
  • Filename
    6234747