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A Quaternion’s Encoding Sine Cosine 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

Sine cosine algorithm (SCA) is a new meta-heuristic algorithm based on sines and cosines. This paper presents quaternion sine cosine algorithm (QSCA). QSCA algorithm introduces the idea of coding individuals with quaternions. Each individual is composed of a real part and three imaginary parts, extending the search space from one dimension to four dimensions, which increases the diversity of the population in the algorithm, further enhances the ability of the algorithm to find the global optimal value, and improves the accuracy of the algorithm. QSCA has been tested using five standard benchmark functions. The results show that the algorithm has better global optimization ability and higher precision.

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Acknowledgement

This work is supported by National Science Foundation of China under Grants No. 11561008.

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Authors and Affiliations

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

    Li Lv, Dengxu He, Miao Lu & Yundi Rao

Authors
  1. Li Lv
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  2. Dengxu He
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  3. Miao Lu
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  4. Yundi Rao
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Corresponding author

Correspondence to Dengxu He .

Editor information

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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Lv, L., He, D., Lu, M., Rao, Y. (2019). A Quaternion’s Encoding Sine Cosine 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_68

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  • DOI: https://doi.org/10.1007/978-3-030-26763-6_68

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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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