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Elastic Boundary for Particle Swarm Optimization

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Advances in Swarm Intelligence (ICSI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7331))

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Abstract

Standard particle swarm optimization (PSO) introduced in 2007, here called 2007-sPSO, is chosen as a starting algorithm in this paper. To solve the problems of the swarm’s velocity slowing down towards zero and stagnant phenomena in the later evolutionary process of 2007-sPSO, elastic boundary for PSO (EBPSO) is proposed, where search space boundary is not fixed, but adapted to the condition whether the swarm is flying inside the current elastic search space or not. When some particles are stagnant, they are activated to speed up in the range of the current elastic boundary, and personal cognition is cleared. Experimental results show that EBPSO improves the optimization performance of 2007-sPSO, and performs better than comparison algorithms.

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Author information

Authors and Affiliations

  1. Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Yuhong Chi & Fuchun Sun

  2. Unit 65053, PLA, Dalian, 116113, China

    Yuhong Chi, Langfan Jiang & Chunming Yu

  3. Unit 65044, PLA, Dalian, 116113, China

    Ping Zhang

Authors
  1. Yuhong Chi
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  2. Fuchun Sun
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  3. Langfan Jiang
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  4. Chunming Yu
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  5. Ping Zhang
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, 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, Suzhou, China

    Yuhui Shi

  3. Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China

    Zhen Ji

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© 2012 Springer-Verlag Berlin Heidelberg

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Chi, Y., Sun, F., Jiang, L., Yu, C., Zhang, P. (2012). Elastic Boundary for Particle Swarm Optimization. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-30976-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30975-5

  • Online ISBN: 978-3-642-30976-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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