• DocumentCode
    2746469
  • Title

    A New Decomposition Algorithm on Non-separable Optimization Problems

  • Author

    Xing, Jinsheng

  • Author_Institution
    Sch. of Math. & Comput. Sci., Shan´´ xi Normal Univ., Linfen, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    511
  • Lastpage
    514
  • Abstract
    Considered is the non-separable optimization problem for a class of large-scale systems, where the overall objective function is not of an additive form with respect to each decision variable. A three-level optimization algorithm is proposed. It first converts the original problem into separable parametric optimization problem. The optimal solution of the original problem is then selected from the set of solutions of parametric optimization problem. Theoretical base of the algorithm is established. Simulation result for one example shows that the algorithm is effective.
  • Keywords
    decision theory; optimisation; decision variable; decomposition algorithm; large-scale system; nonseparable optimization problem; objective function; three-level optimization algorithm; Computer science; Convergence; Electronic commerce; Lagrangian functions; Large-scale systems; Mathematics; Nonlinear equations; Optimization methods; Stochastic processes; System performance; multi-objective optimization; parametric optimization; primal-dual algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3661-3
  • Type

    conf

  • DOI
    10.1109/ECBI.2009.134
  • Filename
    5189530