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Modified particle swarm optimization for optimization problems.

Author(s)
Zhao Pengjun Department of Mathematics and Computational Science, Shangluo University, Shangluo 726000, P. R. China
Cheng Guo Department of Mathematics and Computational Science, Shangluo University, Shangluo 726000, P. R. China
Liu Sanyang Department of Applied Mathematics, Xidian University, Xi an 710071, P. R. China
Abstract
In the paper a modified particle swarm optimization (MPSO) is proposed where concepts from firefly algorithm (FA) are borrowed to enhance the performance of particle swarm optimization (PSO). The modifications focus on the velocity vectors of the PSO, which fully use beneficial information of the position of particles and increase randomization item in the PSO. Finally, the performance of the proposed algorithm is compared with that of the PSO-TVIW. Simulation results demonstrate the effectiveness of the proposed algorithm.
Publication Details
Page(s) 610-614
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 46, Issue: 2, Year: 2012

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