Stablity, Convergence of Balloon Particle Swarm Optimizer and Its Application on Vechile Modelling
نویسندگان
چکیده
Particle Swarm Optimizer, PSO, exhibits good performance for optimization problem, although, PSO can not guarantee convergence of a global minimum, even a local minimum. However, there are some adjustable parameters and restrictive conditions which can affect performance of the algorithm. In this paper, a new adaptive PSO algorithm—Balloon PSO (BPSO) is proposed. The sufficient conditions for asymptotic stability of acceleration factor and inertia weight are deduced. Furthermore it is proved that BPSO is a global research algorithm. Simulation results of power spectral density (PSD) of vehicle vibratory signal estimation show the good performance of BPSO. Copyright © 2005 IFAC
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