• DocumentCode
    2005019
  • Title

    A new local search method with the guarantee of local Pareto optimality

  • Author

    Watanabe, Shigetaka ; Yokouchi, N.

  • Author_Institution
    Coll. of Inf. & Syst., Muroran Inst. of Technol., Muroran, Japan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    1654
  • Lastpage
    1659
  • Abstract
    In this paper, a new local search method based on local Pareto optimality was proposed. The proposed method uses an original local Pareto optimal condition, which modifies Karush-Kuhn-Tucker (KKT) conditions, and applies directed local search to candidate solutions repetitively until solutions satisfy this condition. Also, this paper proposed a new interpolation mechanism for detecting local Pareto subsets exhaustively and capturing the entire shape of each Pareto subset. Through experiments with two typical EMO examples, KUR and MHHM2, the effectiveness of the proposed method was verified.
  • Keywords
    Pareto optimisation; evolutionary computation; search problems; EMO; KKT conditions; KUR; Karush-Kuhn-Tucker conditions; MHHM2; directed local search; evolutionary multicriterion optimization; interpolation mechanism; local Pareto optimal condition; local Pareto optimality; local Pareto subset detection; local search method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505192
  • Filename
    6505192