• DocumentCode
    2464179
  • Title

    Concept-based IEC for Multi-objective Search with Robustness to Human Preference Uncertainty

  • Author

    Moshaiov, Amiram ; Avigad, Gideon

  • Author_Institution
    Tel-Aviv Univ., Tel-Aviv
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1893
  • Lastpage
    1900
  • Abstract
    The recently introduced concept-based IEC approach is extended to include robustness to uncertainties of the preferences, of the decision makers, towards sub-concepts and concepts. A novel measure is presented, which allows the decision makers to assess the relative robustness of concepts in a multi-objective evolutionary search process. Examples of interactive scenarios are given to demonstrate the proposed approach.
  • Keywords
    decision making; evolutionary computation; interactive systems; query formulation; concept-based interactive evolutionary computation; decision making; human preference uncertainty; multiobjective evolutionary search; Design engineering; Evolutionary computation; Humans; IEC; Mechanical engineering; Robustness; Search problems; Symbiosis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688538
  • Filename
    1688538