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Proceedings of 2013 Chinese Intelligent Automation Conference pp 187–193Cite as

Application of Discrete Particle Swarm Optimization Algorithm to Aviation Rescue Base Location

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 254))

Abstract

Based on the theoretic study of location of general facilities, this paper makes an attempt to optimize the typical discrete element of the location of aviation rescue base through discrete binary particle swarm (PSO) algorithm in order to find out an optimized location method with more simplified calculation and more optimized result, which will finally provide a solid theoretical foundation for the location of aviation rescue base.

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References

  1. Clerc M (1999) The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. In: Proceedings of CEC, pp 1951–1957

    Google Scholar 

  2. Kennedy J, Eberhart RC (1997) Discrete binary version of the particle swarm algorithm. In: Proceedings of the IEEE international conference on systems, pp 4104–4108

    Google Scholar 

  3. Zhang PL, Wei QY (2003) Model of the location of the logistics voyage repair factory and its heuristic algorithm. J Transport 7:65–68 (in Chinese)

    Google Scholar 

  4. Cao ZY, Zhou GG, Xu Q (2007) The issue of the location of the maintenance center. J Oper Res 11:275–277 (in Chinese)

    Google Scholar 

  5. Liu F, Sun M, Li N (2004) The Particle Swarm Algorithm and its Application in layout optimization. Comput Eng Appl 40:12 (in Chinese)

    Google Scholar 

  6. Yang FM, Hua G Wi, Deng M (2005) The progress of the location issue. Oper Res Manage Sci 14(6):1–7 (in Chinese)

    Google Scholar 

  7. Hu S (2009) Research on aviation overhaul depot base on particle swarm optimization. Master’s Dissertation of Aviation University of the Air Force (in Chinese)

    Google Scholar 

  8. Zhang LP, Yu HJ, Chen DZ, Hu SX (2004) An analysis and improvement of the particle swarm optimization algorithm. Inf Control 33(5):513–517 (in Chinese)

    Google Scholar 

  9. Angeline PJ (1998) Using selection to improve particle swarm optimization. In: IEEE international conference on evolutionary computation, Anchorage, Alaska, USA, pp 84–89

    Google Scholar 

  10. Deb K (2000) Efficient constraint handling method for genetic algorithms. Comput Methods Appl Mech Eng 186(2):311–338

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Aviation Lifesaving, Aviation University of Air Force of PLA, 7855 Renmin Street, Changchun, 130022, China

    Xiuyu Wu & Yongren Chen

  2. Aviation University of Air Force of PLA, 2222 Nanhu Road, Changchun, 130022, China

    Guoping Xing

  3. Department of Foreign Language and Traveling, Chengde Petroleum College, Chengde, 067000, China

    Lijie Wu

Authors
  1. Xiuyu Wu
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  2. Guoping Xing
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  3. Yongren Chen
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  4. Lijie Wu
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Corresponding author

Correspondence to Xiuyu Wu .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zengqi Sun

  2. Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zhidong Deng

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wu, X., Xing, G., Chen, Y., Wu, L. (2013). Application of Discrete Particle Swarm Optimization Algorithm to Aviation Rescue Base Location. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38524-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-38524-7_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38523-0

  • Online ISBN: 978-3-642-38524-7

  • eBook Packages: EngineeringEngineering (R0)

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