An Improved Particle Swarm Optimization Algorithm and Its Application to Engineering

In this paper, an improved particle swarm optimization algorithm, hybrid algorithm of simplex and particle swarm optimization(SM-PSO)is proposed, because particle swarm optimization has weak local searching abilities and can not be applied to solving complex problems with high dimensions. The hybrid algorithm can adopt lesser population, and decrease calculation scale, thus improves local searching abilities and robustness. Proved by classical testing function with 30 dimensions and gear-driven moderator, the algorithm has excellent performance.