The Research of PSO Algorithms with Non-linear Time-decreasing Inertia Weight
The particle swarm optimization (PSO)firstly proposed by Eberhart and Kennedy,is a computational intelligence technique.The inertia weight is an jmportant parameter of PSO algorithm.In this paper,we designed 2 nonlinear time-decreasing inertia weight to use in GCPSO algorithm.At last a series of experiment is performed to test the performance of GCPSO with difierent inertia weight function.ror most case.The result indicates the nonlinear time.decreasing inertia weight.especially the convex nonlinear time.decreasing inertia weight has a better performance than linear time.decreasing inertia weight and coilstant inertia weight.
PSO GCPSO non-linear inertia weight evolutionary computation
Lei Wen Zhaocai Xi
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
753-755
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）