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Stability analysis of particle swarm optimization without Lipschitz constraint |
Jie CHEN, Feng PAN, Tao CAI, Xuyan TU |
(Department of Automatic Control, School of Information Science Technology, Beijing Institute of Technology, Beijing 100081, China) |
Abstract: |
There are some adjustable parameters which directly influence the performance and stability of Particle Swarm Optimization algorithm. In this paper, stabilities of PSO with constant parameters and time-varying parameters are analyzed without Lipschitz constraint. Necessary and sufficient stability conditions for acceleration factor φ and inertia weight w are presented. Experiments on benchmark functions show the good performance of PSO satisfying the stability condition, even without Lipschitz constraint . And the inertia weight w value is enhanced to ( - 1,1). |
Key words: Lipschitz constraint Time-varying discrete system Adaptive acceleration factor Stability |