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Cluster-Degree Analysis and Velocity Compensation Strategy of PSO

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Advances in Computation and Intelligence (ISICA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5370))

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Abstract

The particle’s trajectory in particle swarm was fully analyzed in this paper, the theorem about necessary condition of convergence property of PSO was proposed by solve difference equation. Based on this theorem, discussed the influence of random parameters on particle’s trajectory, the concept of cluster-degree was put forward and distribute status of particle with different cluster-degree was studied. The reasonable parameters setting range based on cluster-degree was proposed, at the same time, velocity compensation of particle’s velocity was proposed in order to improving performance of PSO. So this paper is helpful for the choosing and adjustment of PSO parameters in practical application.

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References

  1. Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, pp. 39–43 (1995)

    Google Scholar 

  2. Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proc. IEEE International Conference on Neural Networks, vol. IV, pp. 1942–1948. IEEE Service Center, Piscataway

    Google Scholar 

  3. Clerc, M.: TRIBES-Aparameter Free Particle Swarm Optimizer, http://clerc.maurice.free.fr/PSO2002-08-10/2003-10-08

  4. Salman, A.: Discrete Particle Swarm Optimization for Heterogeneous Task Assignment Problem. In: Proceedings of World Multiconference on Systemics, Cybernetics and Informatics (SCI 2001) (2001)

    Google Scholar 

  5. Clerc, M.: Discrete Particle Swarm Optimization: A Fuzzy Combinatorial Black Box, http://clerc.maurice.free.fr/PSO/Fuzzy_Discrete_PSO/Fuzzy_DPSO.htm.2000-04-01/2003-10-08

  6. Hirotaka, Yoshida, Kenichi: A particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Stability. In: IEEE International Conference on Intelligent System Applications to Power Systems, Rio de Janeiro (1999)

    Google Scholar 

  7. Voss, M.S., Feng, X.: Arma Model Selection Using Particle Swarm Optimization and Aic Criteria. In: 15th Triennial World Congress, Barcelona, Spain (2002)

    Google Scholar 

  8. Clerc, M.: Some math about Particle Swarm Optimization, http://clerc.maurice.free.fr/pso/2002-08-10/2003-10-08

  9. Van den Bergh, F.: An analysis of Particle Swarm Optimizers: [Ph D dissertation]. University of Pretoria, Pretoria (2001)

    Google Scholar 

  10. Li, N., Sun, D.-b., Zou, T., Qin, Y.: An Analysis for a Particle’s Trajectory of PSO Based on Difference Equation. Chinese Journal of Computers 29(11) (November 2006)

    Google Scholar 

  11. Dou, Q.-s.: Research on Evolutionary Computing for Optimization Problem. [Ph D dissertation]. Jilin University, Changchun (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China

    Quansheng Dou & Zhongzhi Shi

  2. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Quansheng Dou

  3. Yantai Dongfang Electronics Information Industry Group Co, Ltd, Yantai, China

    Quansheng Dou, Erkeng Yu & Yongzhi Zheng

  4. School of Nursing, Binzhou Medical University, Yantai, China

    Zhijun Yu

Authors
  1. Quansheng Dou
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  2. Zhijun Yu
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  3. Zhongzhi Shi
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  4. Erkeng Yu
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  5. Yongzhi Zheng
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Editor information

Editors and Affiliations

  1. Computation Center, Wuhan University, 430072, Wuhan, China

    Lishan Kang

  2. Faculty of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, P.R. China

    Zhihua Cai

  3. School of Computer Science, China University of Geosciences, Wu-Han, 430074, China Research Center for Space Science and Technology, China University of Geosciences, 430074, Wu-Han, China

    Xuesong Yan

  4. The University of Aizu, Tsuruga, Ikki-machi, 965-8580, Aizu-Wakamatsu City Fukushima, Japan

    Yong Liu

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© 2008 Springer-Verlag Berlin Heidelberg

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Dou, Q., Yu, Z., Shi, Z., Yu, E., Zheng, Y. (2008). Cluster-Degree Analysis and Velocity Compensation Strategy of PSO. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_11

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  • DOI: https://doi.org/10.1007/978-3-540-92137-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92136-3

  • Online ISBN: 978-3-540-92137-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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