Title :
Particle swarm optimization for dynamic analytical models involving Ordinary Differential Equations
Author :
Mazhoud, I. ; Hadj-Hamou, K. ; Bigeon, J. ; Joyeux, P.
Author_Institution :
G-SCOP, Grenoble-INP-UJF, Grenoble, France
fDate :
April 29 2012-May 2 2012
Abstract :
This paper presents an adapted approach for handling optimization problems of dynamic engineering design models including Ordinary Differential Equations (ODE). The approach proposed brings into play a PSO algorithm, based on a specific constraint-handling mechanism, and the Runge-Kutta 44 algorithm for solving the ODE. The PSO-RK44 approach has been validated and tested on the optimal design of a Contactor.
Keywords :
Runge-Kutta methods; constraint handling; contactors; design engineering; differential equations; electrical engineering computing; particle swarm optimisation; ODE; PSO algorithm; PSO-RK44 approach; Runge-Kutta 44 algorithm; constraint-handling mechanism; contactor; dynamic analytical models; dynamic engineering design models; ordinary differential equations; particle swarm optimization; Algorithm design and analysis; Analytical models; Coils; Differential equations; Heuristic algorithms; Mathematical model; Optimization; Contactor; Differential equations; Optimization; Particle swarm optimization;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6334982