Particle swarm optimization for dynamic analytical models involving Ordinary Differential Equations

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.