关键词: 多目标优化, Pareto解集, 微粒群算法

Abstract: A new kind of filter for Pareto solutions is presented.And a kind of critertion judging the stagnation of the particles in particle swarm optimization based on the filter is proposed.Based on which，a kind of multi-objective particle swarm optimization algorithm is proposed.By using the filter for Pareto solutions can improve algorithm’s ability to keep diversity.The proposed algorithm is compared with some well known multi-objective evolutionary algorithms through series of standard test functions by means of visual graphs.The results indicate that the algorithm can search the Pareto optimum more effectively.

Key words: multi-objective optimization, Pareto solutions, particle swarm optimization