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

fYear

2012

fDate

April 29 2012-May 2 2012

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on

Conference_Location

Montreal, QC

ISSN

0840-7789

Print_ISBN

978-1-4673-1431-2

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2012.6334982

Filename

6334982