关键词: 粒子群优化（PSO） 优化算法 惯性权值

Abstract:

The setting of inertia weight plays a key role in the performance of PSO, so many improved PSO algorithms based on inertia weights are proposed. In th ese improved algorithms, the performance of the algorithm is really improved, but the same inertia weight is used to update the velocity of particles in the whole population and it is hard to control the search ability of PSO. A good investigation of the key role of the setting of the inertia weights is made and a new strategy of inertia weight a djustment and the corresponding PSO are proposed based on the investigation. In the new PSO, different inertia weights are used in updating the particle swarm in the same generation. The experimental results illustrate that the new PSO algorithm improves the  performance of PSO,and it also speeds up the velocity of the PSO convergence and has the ability to escape from the local minimum.

Key words: （particle swarm optimization （PSO）;optimization algorithm;inertia weight）