• DocumentCode
    1633953
  • Title

    A Hybrid Cultural Algorithm with Local Search for Traveling Salesman Problem

  • Author

    Kim, Yongjun ; Cho, Sung-Bae

  • Author_Institution
    Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
  • fYear
    2009
  • Firstpage
    188
  • Lastpage
    192
  • Abstract
    New hybrid cultural algorithm with local search (HCALS) is introduced to solve traveling salesman problem (TSP). The algorithm integrates the local search method into the cultural algorithm which uses social intelligence to guide and lead individuals in the population. Better solutions can be attained by controlling individuals which are locally optimized by the local search methods. The combination of these two methods can be a promising method for solving the combinatorial problems like TSP. The experimental results show that the proposed algorithm can find better solutions than other methods for TSP in most cases.
  • Keywords
    search problems; travelling salesman problems; NP-hard problem; combinatorial problems; hybrid cultural algorithm; local search method; social intelligence; traveling salesman problem; Cities and towns; Computer science; Cultural differences; Evolutionary computation; Genetic algorithms; Optimization methods; Protocols; Search methods; Space exploration; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4244-4808-1
  • Electronic_ISBN
    978-1-4244-4809-8
  • Type

    conf

  • DOI
    10.1109/CIRA.2009.5423211
  • Filename
    5423211