This paper systematically introduces and analyzes the background,the principle,process and parameters of particle swarm optimization(PSO) algorithm,and their influence on optimization performance of PSO.

The Particle Swarm Optimization(PSO) is an evolutionary computational method,which may be conveniently employed to execute random and global search.

To resolve this problem,a new GMM optimization method was proposed based on Particle Swarm Optimization(PSO).

APPLICATION OF PSO IN OPTIMAL DESIGN OF HOT OIL PIPELINE;

Solution of Flow Shop Scheduling Problem Based on PSO;

Texture synthesis image completion based on PSO;