• DocumentCode
    1658312
  • Title

    Notice of Retraction
    A Parallel variable neighborhood search for the Traveling Salesman Problem

  • Author

    Gao Lei-fu ; Dong Wei

  • Author_Institution
    Inst. of Math. & Syst. Sci. Coll. of Sci., Liaoning Tech. Univ., Fuxin, China
  • Volume
    3
  • fYear
    2010
  • Firstpage
    150
  • Lastpage
    152
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    When trying to find approximate solutions for the Traveling Salesman Problem with heuristic optimization algorithms, the reduction of the computational time or the increase of the exploration in the search space are two important aspects. Used variable neighborhood search to solving the Traveling Salesman Problem, and improved this algorithm in initial solution´s production, neighbor structure and improved shaking step with parallel method, it makes full use of the Variable Neighborhood Search and the parallelism advantages. Test with some instances in TSPLIB, the result shows that the algorithm can achieve satisfied solution with satisfied speed.
  • Keywords
    computational complexity; optimisation; parallel algorithms; search problems; travelling salesman problems; computational time; optimization algorithm; parallel variable neighborhood search; search space; traveling salesman problem; Metaheuristic; TSP; VNS; component; parallel computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management Science (ICAMS), 2010 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6931-4
  • Type

    conf

  • DOI
    10.1109/ICAMS.2010.5553268
  • Filename
    5553268