Volume 8 Number 4 (Apr. 2013)
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JSW 2013 Vol.8(4): 827-833 ISSN: 1796-217X
doi: 10.4304/jsw.8.4.827-833

Improvement on PSO with Dimension Update and Mutation

Hui Xu1, 2, Yongguo Yang2, Lei Mao1, Hongxia Xie1
1School of Computer science and Technology, China University of Mining & Technology, Xuzhou, China
2School of Mineral Resource and Earth Science, China University of Mining & Technology, Xuzhou, China


AbstractSub-dimension particle swarm optimization(s-dPSO) is proposed based on basic particle swarm optimization (bPSO). Each dimension of particle in s-dPSO is updated in turn. The dimensions with poor diversity would be mutated that is initialized again to improve the diversity of population and get global optimal solution when the algorithm is in the local convergence. Most Benchmark function get good result with s-dPSO which ability of optimization is better than bPSO.

Index Termss-dPSO, dimension, diversity, optimizatio.

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Cite: Hui Xu, Yongguo Yang, Lei Mao, Hongxia Xie, "Improvement on PSO with Dimension Update and Mutation," Journal of Software vol. 8, no. 4, pp. 827-833, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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