粒子群算法的惯性权重调整策略

Particle swarm optimization (PSO) algorithm is a new global optimization technique based on swarm intelligence. It has the advantages of simple concept and easy realization it is especially popular in engineering application and other fields. This paper introduces the basic theory and the process of the PSO, then analyses the importance of the inertia weight. This paper also summarizes the different improved PSO algorithm caused by the different inertia weight strategy and discusses them. At last the further researches on the inertia weight are given.