• DocumentCode
    3296986
  • Title

    An Improved Heuristic Crossover Operator for TSP

  • Author

    Zhou, Cong ; Zheng, Jinhua ; Li, Wangyi

  • Author_Institution
    Inst. of Inf. Eng., Xiangtan Univ., Xiangtan
  • Volume
    1
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    541
  • Lastpage
    545
  • Abstract
    TSP (traveling salesman problem) is one of the typical NP-hard problem in combination optimization. For salving the problem, genetic algorithm is better than traditional ones obviously, and there are also many crossover operators used to get hypo-optimization route. Base on heuristic crossover by Lixin Tang, a new crossover operator is conducted. The crossover preservers the segment of effective genes, then mobile window operator and neighborhood identification operator are used to fasten the algorithm convergence. The example shows that the new crossover operator is useful.
  • Keywords
    computational complexity; genetic algorithms; travelling salesman problems; NP-hard problem; genetic algorithm; heuristic crossover operator; traveling salesman problem; Biological cells; Biological systems; Cities and towns; Computer applications; Convergence; Encoding; Evolution (biology); Genetic algorithms; NP-hard problem; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.514
  • Filename
    4666904