• DocumentCode
    2464164
  • Title

    Robustness Analysis in Multi-Objective Optimization Using a Degree of Robustness Concept

  • Author

    Barrico, Carlos ; Antunes, Carlos Henggeler

  • Author_Institution
    Univ. of Beira Interior, Coimbra
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1887
  • Lastpage
    1892
  • Abstract
    This paper presents a novel approach to robustness analysis in multi-objective optimization problems. The concept of degree of robustness in incorporated into the evolutionary algorithm, being operationalized in the computation of the fitness value assigned to solutions. Non-dominated solutions are classified according to their degree of robustness. The information on the degree of robustness of solutions is provided to support the decision maker in the selection of a robust compromise solution.
  • Keywords
    decision making; evolutionary computation; optimisation; robust control; decision maker; evolutionary algorithm; multiobjective optimization; robustness analysis; Acceleration; Degradation; Delta modulation; Evolutionary computation; Informatics; Pareto optimization; Robust control; Robustness; Testing;
  • 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.2006.1688537
  • Filename
    1688537