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A new vortex search algorithm with gradient-based approximation for optimization of the fore part of KCS container ship

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Abstract

In this research, a new vortex search algorithm with gradient-based approximation (VS-G) is proposed to deal with the optimization of the fore part of KCS container ship. The VS-G algorithm shows a faster convergence towards the global optimum than the original VS algorithm and has the ability to jump out of the local minimum. A significant resistance reduction is achieved and numerical results show the effectiveness of the optimization procedure.

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Acknowledgements

We acknowledge the financial support from the National Natural Science Foundation of China (Grant Nos. 51475179, 51679099, 51279147, 51179143, 51479150, L1422029), and the generous foundation support from Huazhong University of Science and Technology, Wuhan Science and Technology committee.

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Authors and Affiliations

  1. School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Yujia Huang & Guoxiang Hou

  2. Key Laboratory of High Performance Ship Technology of Ministry of Education, Wuhan University of Technology, Wuhan, 430063, China

    Xide Cheng & Baiwei Feng

  3. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Liang Gao & Mi Xiao

Authors
  1. Yujia Huang
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  2. Guoxiang Hou
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  3. Xide Cheng
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  4. Baiwei Feng
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  5. Liang Gao
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  6. Mi Xiao
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Corresponding authors

Correspondence to Guoxiang Hou or Xide Cheng.

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Huang, Y., Hou, G., Cheng, X. et al. A new vortex search algorithm with gradient-based approximation for optimization of the fore part of KCS container ship. J Mar Sci Technol 22, 403–413 (2017). https://doi.org/10.1007/s00773-016-0419-5

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  • DOI: https://doi.org/10.1007/s00773-016-0419-5

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