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Sparrow Search Algorithm Based on Cubic Mapping and Its Application

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Advanced Intelligent Computing Technology and Applications (ICIC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14086))

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Abstract

Sparrow search algorithm (SSA) easily appears some problems such as falling into local optima and lacking search precision. To address these issues, a sparrow search algorithm based on cubic mapping (CSSA) improvement is proposed. Wanting a better population, a Cubic chaotic initialization method is used to improve population quality. During the producer position update process, levy fight is added to widen the search area of the algorithm. Then, an inertia weight is introduced during the scrounger phase. The algorithm is tested using CEC2022 test functions and compared with multiple algorithms. The data show that CSSA can overcome the problem that SSA easily getting stuck in local optimum to some extent, and improve convergence accuracy and stability. At last, CSSA is applied to an engineering problem of three-bar truss, and compared with other algorithms in a comparative experiment.

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Acknowledgement

This work is partially supported by the National Natural Science Foundation of China (No. 61976101) and the University Natural Science Research Project of Anhui Province (No. 2022AH040064).

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Authors and Affiliations

  1. Huaibei Normal University, Huaibei, 235000, China

    Shuo Zheng, Feng Zou & DeBao Chen

Authors
  1. Shuo Zheng
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  2. Feng Zou
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  3. DeBao Chen
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Corresponding author

Correspondence to Feng Zou .

Editor information

Editors and Affiliations

  1. Eastern Institute of Technology, Zhejiang, China

    De-Shuang Huang

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

    Prashan Premaratne

  3. Zhengzhou University of Light Industry, Zhengzhou, China

    Baohua Jin

  4. Zhong Yuan University of Technology, Zhengzhou, China

    Boyang Qu

  5. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  6. Department of Computer Science, Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zheng, S., Zou, F., Chen, D. (2023). Sparrow Search Algorithm Based on Cubic Mapping and Its Application. In: Huang, DS., Premaratne, P., Jin, B., Qu, B., Jo, KH., Hussain, A. (eds) Advanced Intelligent Computing Technology and Applications. ICIC 2023. Lecture Notes in Computer Science, vol 14086. Springer, Singapore. https://doi.org/10.1007/978-981-99-4755-3_33

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  • DOI: https://doi.org/10.1007/978-981-99-4755-3_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-4754-6

  • Online ISBN: 978-981-99-4755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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