A Modified Particle Swarm Optimization Algorithm

Particle swarm optimization algorithm is a kind of auto-adapted search optimization based on community.But the standard particle swarm optimization has the defects of prematurely, stagnation when applied in optimizing problems and easily leading to local minimum. A modified particle swarm optimization algorithm is proposed to improve from the initial solution and the search precision. The results show the algorithm computation precision is increased, the algorithm convergence is improved, and the local minimum phenomenon is mainly avoided. The experimental results of classic functions show that the modified PSO is efficient and feasible.