论文部分内容阅读
There are some adjustable parameters which direcdy influence the performance and stability of Particle Swarm Op-ttimization algorithm. In this paper, stabilities of PSO with constant parameters and time-varying parameters are analyzed withoutLipschitz constraint. Necessary and sufficient stability conditions for acceleration factor ψand inertia weight w are presented. Exper-iments on benchmark functions show the good perfomance of PSO satisfying the stability condition, even without Lipschitz con-straint. And the inertia weight w value is enhanced to ( - 1,1 ).