A Particle Swarm Optimization Model with Stochastic Inertia Weight
Jianchao Zeng · Jisuanji fangzhen · 2006
The particle swarm optimization is an optimization method through simulating social behavior of bird flocking or fish schooling,which attracts much attention of many scholars in this region.Based on the analysis of evolutionary equations of the standard PSO,the paper proposes a velocity evolutionary equation which could describe more precisely particle's evolving process,and further gives a PSO model with stochastic inertia weight.The results of five benchmark functions prove the model to be feasible,at the same time show that the performance of the PSO with stochastic inertia weight is improved obviously than that of the PSO with linearly decreasing inertia weight.