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
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