关键词: 粒子群优化, 惯性权重, 优化算法

Abstract: Particle Swarm Optimization（PSO） is a novel stochastic optimization algorithm based on the simulation of migration and the group model of bird flock in the process of their food-searching，and it can be used to solve optimization problems.Inertia weight is an important parameter in PSO，and it can control the algorithm’s exploitation ability and exploration ability.This paper simply introduces the principle of PSO，and overviews the research advances in the inertia weight.

Key words: Particle Swarm Optimization（PSO）, inertia weight, optimization algorithm