@inproceedings{ff0d065431324994bce717a0011d7912,
title = "Stablity, convergence of balloon Particle Swarm Optimizer and its application on vechile modelling",
abstract = "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.",
keywords = "Asymptotic stability, Balloon PSO (BPSO), Global convergence, Particle swarm optimizer (PSO)",
author = "Feng Pan and Jie Chen and Gan, {Ming Gang} and Tao Cai and Tu, {Xu Yan}",
year = "2005",
doi = "10.3182/20050703-6-cz-1902.00933",
language = "English",
isbn = "008045108X",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "431--434",
booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",
}