Parameter Identification Problem Using Particle Swarm Optimization

Ordinary differential equations have been a useful tool for describing the behavior of wide variety of dynamic physical systems. In this study, a method for solving parameter identification problem for ordinary second order differential equations using particle swarm optimization approach is presented.Experiments using two case problems are presented and compared with the best known solutions reported in the literature. The comparison results demonstrate that PSO produced better estimated results with respect to previous findings from genetic algorithm.