Solutions of Multi-Objective Optimization Problems Based on Particle Swarm Optimization

Particle swarm optimization （PSO） algorithm has been developing rapidly and has been applied widely since it was introduced,as it is easily understood and realized. Through the improvement of the option modes of gBest and pBest of PSO algorithm,an optimization algorithm applied to solving multi-objective optimization problems is presented,and the search for Pareto optimal set of multi-objective optimization problems is implemented. The effectiveness of the algorithm is proved by experiments.