• DocumentCode
    2955562
  • Title

    On linkage identification in EC for solving combinatorial optimization problems

  • Author

    Umezane, Shin´chiro ; Fujita, Satoshi

  • Author_Institution
    Graduate Sch. of Eng., Hiroshima Univ., Japan
  • Volume
    4
  • fYear
    2005
  • fDate
    10-12 Oct. 2005
  • Firstpage
    3071
  • Abstract
    This paper proposes a new linkage identification method based on the notion of evolution of linkages, which is designed for evolutionary computation schemes to solve combinatorial optimization problems (COP). Linkage identification is a task to identify an appropriate fragment of genes contained in a chromosome that is expected to significantly increase the fitness of the overall individuals. As a concrete target problem of the proposed scheme, we focus on the traveling salesman problem (TSP) that is known as a typical COP. The performance of the scheme is experimentally evaluated by using TSPLIB, and is compared with the performance of previous schemes. The result of experiments shows that the proposed scheme really improves the performance of the previous scheme, and the amount of improvement is 42.7% in the best case.
  • Keywords
    evolutionary computation; optimisation; travelling salesman problems; combinatorial optimization; evolutionary computation; linkage identification; traveling salesman problem; Biological cells; Concrete; Couplings; Design engineering; Design optimization; Evolutionary computation; Genetics; Power grids; Stability analysis; Traveling salesman problems; Evolutionary computation schemes; combinatorial optimization; linkage identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9298-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2005.1571617
  • Filename
    1571617