Nonlinear Time-Varying Stability Analysis of Particle Swarm Optimization
Computational Aspects of Social Networks（2010）
摘要
As a nonlinear time-varying system, it is hard to make the stability analysis for particle swarm optimization (PSO). In this paper, geometric speed stability analysis is introduced to analyze the stability condition of PSO. According to the condition, a new inertia weight selection strategy is proposed. Simulation results show it is effective.
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关键词
new inertia weight selection,time-varying systems,particle swarm optimisation,nonlinear systems,geometric speed stability analysis,stability condition,nonlinear time-varying stability analysis,stability analysis,inertia weight selection,simulation result,stability,geometry,nonlinear time-varying system,particle swarm optimization,convergence,simulation
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