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Collective Behavior of an Anisotropic Swarm Model Based on Unbounded Repulsion in Social Potential Fields

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Computational Intelligence and Bioinformatics (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4115))

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Abstract

Swarm system with flexible structures adapts well to variable environment. In this article, we propose an anisotropic swarm model based on unbounded repulsion and social potential fields. The unbounded repulsion ensures the independence among autonomous agents in social potential fields, which consist of obstacles to avoid and targets to move towards. Simulation results show that the aggregating swarm can construct various formations by changing its anisotropy coefficient, and the collective behavior of mass individuals emerges from combination of the inter-individual interactions and the interaction of the individual with outer circumstances.

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Author information

Authors and Affiliations

  1. College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, P.R. China

    Liang Chen & Li Xu

Authors
  1. Liang Chen
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  2. Li Xu
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China

    De-Shuang Huang

  2. Queen’s University, Belfast, UK

    Kang Li  & George William Irwin  & 

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, L., Xu, L. (2006). Collective Behavior of an Anisotropic Swarm Model Based on Unbounded Repulsion in Social Potential Fields. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence and Bioinformatics. ICIC 2006. Lecture Notes in Computer Science(), vol 4115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816102_18

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  • DOI: https://doi.org/10.1007/11816102_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37277-6

  • Online ISBN: 978-3-540-37282-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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