• DocumentCode
    388779
  • Title

    Causality assignment using multi-objective evolutionary algorithms

  • Author

    Wong, Tony ; Bigras, Pascal ; Khayati, Karim

  • Author_Institution
    Ecole de Technol. Superieure, Quebec Univ., Que., Canada
  • Volume
    4
  • fYear
    2002
  • fDate
    6-9 Oct. 2002
  • Abstract
    Causality assignment is an important task in physical modeling by bond graphs. Traditional causality assignment procedures have specific aims and particular purposes. The traditional SCAP and MSCAP are algorithms that may fail if the bond graph has loops or contains junction causality violations. The RCAP algorithm focuses on the generation of differential algebraic equations to take into account junction violations caused by nonlinear multi-port devices and is not suitable for general bond graphs. We present a formulation of the causality assignment problem as a constrained multiobjective optimization problem. We then solve the resulting constrained system by a simple yet effective multi-objective evolutionary technique.
  • Keywords
    bond graphs; differential equations; evolutionary computation; modelling; MSCAP algorithm; RCAP algorithm; SCAP algorithm; bond graphs; causality assignment; differential algebraic equations; junction causality violations; modeling; multi-objective evolutionary algorithms; nonlinear multi-port devices; optimization; Bonding; Computer simulation; Constraint optimization; Differential algebraic equations; Evolutionary computation; Information analysis; Load flow; Performance analysis; Production engineering; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2002 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7437-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2002.1173230
  • Filename
    1173230