• DocumentCode
    2571268
  • Title

    Effect of using partial solutions in edge histogram sampling algorithms with different local searches

  • Author

    Tsutsui, Shigeyoshi

  • Author_Institution
    Dept. of Manage. Inf. Sci., Hannan Univ., Matsubara, Japan
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    2137
  • Lastpage
    2142
  • Abstract
    In previous study, we have proposed EHBSA within the EDA framework for permutation domains, and showed better performance than traditional GAs. The important feature of EHBSA is to use partial solutions from previous generations. In this paper, we analyze the effectiveness of using partial solutions using a wide range of problem sizes, without local search, and incorporating two types of local search. One of the most important finding in this paper is that we were able to confirm that using partial solutions is effective for all cases in which we use no local search, 3-OPT local search, and Lin-Kernighan (LK) local search. Future work for this research is also discussed.
  • Keywords
    genetic algorithms; sampling methods; search problems; travelling salesman problems; 3-OPT local search; EDA framework; Lin-Kernighan local search; edge histogram sampling algorithms; estimation of distribution algorithm; genetic algorithm; local search algorithm; no local search; partial solutions; Cities and towns; Conference management; Cybernetics; Electronic design automation and methodology; Histograms; Information management; Sampling methods; Testing; Traveling salesman problems; USA Councils; 3-OPT; EDA; EHBSA; Genetic Algorithm; Lin-Kernighan heuristic; combining local search; eEHBSA; partial solutions; traveling salesman problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346283
  • Filename
    5346283