• DocumentCode
    3121149
  • Title

    Solution analysis of multi-objective programming problem

  • Author

    Guo-Li Zhang ; Hua Zuo

  • Author_Institution
    Inf. Process. & Control Inst., North China Electr. Power Univ., Baoding, China
  • Volume
    03
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    1039
  • Lastpage
    1044
  • Abstract
    Weighted ideal point method converts a multi-objective programming problem into a single objective programming problem. Solving corresponding single objective programming problem, some Pareto optimal solutions of the original multi-objective programming problem can be found. Specially, for convex multi-objective programming problems, we prove that there exist weights such that Pareto optimal solution is the optimal solution of the corresponding single objective programming problem. This means that all Pareto optimal solutions can be found. At last, an example is given to illustrate that all Pareto optimal solutions of convex multi-objective programming problems can be found by the weighted ideal point method.
  • Keywords
    Pareto optimisation; convex programming; Pareto optimal solutions; convex multiobjective programming problems; single objective programming problem; solution analysis; weighted ideal point method; Abstracts; Pareto optimization; Programming; Convex multi-objective; Multi-objective; Pareto optimal solution; Weighted ideal point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890749
  • Filename
    6890749