• DocumentCode
    1626419
  • Title

    Some methods to overcome local optima in optimization procedures

  • Author

    Moebus, D. ; Kuntz, R. ; Lueder ; Lauer, H.U.

  • Author_Institution
    Inst. fuer Netzwerk & Syst., Stuttgart Univ., West Germany
  • fYear
    1989
  • Firstpage
    519
  • Abstract
    Three methods to overcome local optima in the optimization of electrical circuits are introduced. Criteria for the selection of one of the three methods are given: they depend on the behavior of the objective function around the local optimum. The three strategies are based on a deterministic search along the positive gradient direction and on two Monte-Carlo-based statistical methods. Three optimizations of ICs demonstrate the performance of the new method
  • Keywords
    Monte Carlo methods; circuit CAD; circuit analysis computing; network topology; optimisation; IC optimization; Monte-Carlo-based statistical methods; computer-aided methods; deterministic search; electrical circuit optimization; local optima; method performance; network topology; objective function behaviour; positive gradient direction; Circuits; Ellipsoids; Fabrication; Monte Carlo methods; Optimization methods; Probability; Sampling methods; Shape; Solids; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100404
  • Filename
    100404