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A Modified Particle Swarm Optimization Algorithm

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5 Author(s)
Wen Shuhua ; Taiyuan Univ. of Sci. & Technol. ; Zhang Xueliang ; Li Hainan ; Liu Shuyang
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A modified particle swarm optimization (MPSO) algorithm is presented based on the variance of the population's fitness. During computing, the inertia weight of MPSO is determined adaptively and randomly according to the variance of the populations fitness. And the ability of , particle swarm optimization algorithm (PSO) to break away from the local optimum is greatly improved. The simulating results show that this algorithm not only has great advantage of convergence property over standard simple PSO, but also can avoid the premature convergence problem effectively

Published in:

Neural Networks and Brain, 2005. ICNN&B '05. International Conference on  (Volume:1 )

Date of Conference:

13-15 Oct. 2005