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The Hybrid Algorithm of Biogeography Based Optimization and Clone Selection for Sensors Selection of Aircraft

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Advances in Swarm Intelligence (ICSI 2011)
The Hybrid Algorithm of Biogeography Based Optimization and Clone Selection for Sensors Selection of Aircraft
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  • Lifang Xu20,21,
  • Shouda Jiang20 &
  • Hongwei Mo22 

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6728))

Included in the following conference series:

  • International Conference in Swarm Intelligence
  • 3207 Accesses

  • 1 Citation

Abstract

Biogeography-based optimization algorithm(BBO) is a new kind of optimization algorithm based on Biogeography. It mimics the migration strategy of animals to solve the problem of optimization. In this paper, the clone selection strategy is combined with biogeography for solving the problem of sensors selection of aircraft. It is compared with other classical nature inspired algorithms. The comparison results show that BBOCSA is an effective algorithm for optimization problem in practice. It provides a new method for this kind of problem.

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Author information

Authors and Affiliations

  1. Department of Automatic Test and Control, Harbin Institute of Technology, 150001, Harbin, China

    Lifang Xu & Shouda Jiang

  2. Engineering Training Center, Harbin Engineering University, 150001, Harbin, China

    Lifang Xu

  3. Automation College, Harbin Engineering University, 150001, Harbin, China

    Hongwei Mo

Authors
  1. Lifang Xu
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  2. Shouda Jiang
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  3. Hongwei Mo
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, 215123, Suzhou, China

    Yuhui Shi

  3. Automation College, Chongqing University, 400030, Chongqing, China

    Yi Chai

  4. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, P.R. China

    Guoyin Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xu, L., Jiang, S., Mo, H. (2011). The Hybrid Algorithm of Biogeography Based Optimization and Clone Selection for Sensors Selection of Aircraft. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21515-5_47

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  • DOI: https://doi.org/10.1007/978-3-642-21515-5_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21514-8

  • Online ISBN: 978-3-642-21515-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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Keywords

  • Biogeography
  • Biogeography-based optimization
  • Clone selection
  • Sensor selection

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