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A Complex Encoding Flower Pollination Algorithm for Global Numerical Optimization

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Abstract

Flower pollination algorithm (FPA) is proposed to cause the attention of researchers. And this paper presents a new flower pollination algorithm with complex-valued encoding (CFPA) in which the update of populations will be divided into two parts, the real part and the imaginary part. This approach can expand the amount of information contained in the individual gene and enhances the diversity of individual population. Numerical experiments have been carried out based on the comparison with particle swarm optimization (PSO) and original flower pollination algorithm (FPA).

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Acknowledgments

This work is supported by National Science Foundation of China under Grants No. 61463007, 61563008.

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Authors and Affiliations

  1. College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, 530006, China

    Chengyan Zhao & Yongquan Zhou

  2. Key Laboratory of Guangxi High Schools Complex System and Computational Intelligence, Nanning, 530006, China

    Yongquan Zhou

Authors
  1. Chengyan Zhao
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  2. Yongquan Zhou
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Editor information

Editors and Affiliations

  1. Tongji University , Shanghai, China

    De-Shuang Huang

  2. Polytechnic of Bari , Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong , North Wollongong, New South Wales, Australia

    Prashan Premaratne

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Zhao, C., Zhou, Y. (2016). A Complex Encoding Flower Pollination Algorithm for Global Numerical Optimization. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9771. Springer, Cham. https://doi.org/10.1007/978-3-319-42291-6_67

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  • DOI: https://doi.org/10.1007/978-3-319-42291-6_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42290-9

  • Online ISBN: 978-3-319-42291-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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