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Glowworm Swarm Optimization Algorithm for Solving Numerical Integral

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Intelligent Computing and Information Science (ICICIS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 134))

Abstract

A new method for solving numerical integration based on artificial glowworm swarm optimization algorithm is presented. The method can not only compute usual definite integral for any functions, but also compute singular integral and oscillatory integral. The simulation results show that the proposed algorithm for solving numerical integration has higher precision.

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Author information

Authors and Affiliations

  1. College of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning, Guangxi, 530006, China

    Yan Yang & Yongquan Zhou

Authors
  1. Yan Yang
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  2. Yongquan Zhou
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Editor information

Editors and Affiliations

  1. The Key Laboratory of Manufacture and Test, Chongqing University of Technology, 400054, Chongqing, P. R. China

    Ran Chen

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© 2011 Springer-Verlag Berlin Heidelberg

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Yang, Y., Zhou, Y. (2011). Glowworm Swarm Optimization Algorithm for Solving Numerical Integral. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18129-0_61

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  • DOI: https://doi.org/10.1007/978-3-642-18129-0_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18128-3

  • Online ISBN: 978-3-642-18129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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