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Hybrid Meta-Model Based Design Space Differentiation Method for Expensive Problems

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Abstract

In this work, a hybrid meta-model based design space differentiation (HMDSD) method is proposed for practical problems. In the proposed method, an iteratively reduced promising region is constructed using the expensive points, with two different search strategies respectively applied inside and outside the promising region. Besides, the hybrid meta-model strategy applied in the search process makes it possible to solve the complex practical problems. Tested upon a serial of benchmark math functions, the HMDSD method shows great efficiency and search accuracy. On top of that, a practical lightweight design demonstrates its superior performance.

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Authors and Affiliations

  1. State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, 410082, Changsha, China

    Nianfei Gan, Guangyao Li & Jichao Gu

Authors
  1. Nianfei Gan
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  2. Guangyao Li
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  3. Jichao Gu
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Correspondence to Jichao Gu.

Additional information

Project supported by the Plan for the growth of young teachers, the National Natural Science Foundation of China (No. 51505138), the National 973 Program of China (No. 2010CB328005), Outstanding Youth Foundation of NSFC (No. 50625519) and Program for Changjiang Scholars.

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Gan, N., Li, G. & Gu, J. Hybrid Meta-Model Based Design Space Differentiation Method for Expensive Problems. Acta Mech. Solida Sin. 29, 120–132 (2016). https://doi.org/10.1016/S0894-9166(16)30101-X

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  • DOI: https://doi.org/10.1016/S0894-9166(16)30101-X

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