Analysis and Improvement About Particle Swarm Optimization Based on Linear Control Theory
Using control theory, three different particle swarm optimization (PSO), such as basic PSO, standard PSO and PSO with constriction factor were analyzed in detail, the results showed that the evolution equations were composed of both integral elements and inertia elements or inertia elements only. To improve the calculation efficiency, the inertia elements in evolution equations were modified to the oscillation elements and the corresponding algorithm and the coefficients selection principles were discussed. The optimization computing of some examples was made to show the new algorithm has better global search capacity and rapid convergence rate.