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BFPA: Butterfly Strategy Flower Pollination Algorithm

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Intelligent Computing Theories and Application (ICIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11643))

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Abstract

Aiming at the shortcomings of slow convergence and low precision of flower pollination algorithm, a flower pollination algorithm based on butterfly pollination strategy (BFPA) was proposed. The algorithm first uses the butterfly pollination strategy to accelerate the convergence speed of the global search phase. Second, in the local search phase, the beetle antenna search help algorithm is used to jump out of the local optimum. The experiment uses five Benchmark test functions to test, and the results show that the BFPA algorithm has better performance than other versions of the pollination algorithm.

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Acknowledgments

This work is supported by National Science Foundation of China under Grant No. 61563008. Project of Guangxi University for Nationalities Science Foundation under Grant No. 2018GXNSFAA138146.

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Authors and Affiliations

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

    Mengyi Lei, Qifang Luo, Yongquan Zhou, Chengmei Tang & Yuanyuan Gao

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

    Mengyi Lei, Qifang Luo, Yongquan Zhou, Chengmei Tang & Yuanyuan Gao

Authors
  1. Mengyi Lei
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  2. Qifang Luo
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  3. Yongquan Zhou
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  4. Chengmei Tang
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  5. Yuanyuan Gao
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Corresponding author

Correspondence to Qifang Luo .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, NSW, Australia

    Prashan Premaratne

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Lei, M., Luo, Q., Zhou, Y., Tang, C., Gao, Y. (2019). BFPA: Butterfly Strategy Flower Pollination Algorithm. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11643. Springer, Cham. https://doi.org/10.1007/978-3-030-26763-6_71

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  • DOI: https://doi.org/10.1007/978-3-030-26763-6_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26762-9

  • Online ISBN: 978-3-030-26763-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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