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A Single- and Multi-objective Optimization Algorithm for Electromagnetic Devices Assisted by Adaptive Kriging Based on Parallel Infilling Strategy

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Abstract

A computationally efficient surrogate model is suggested to approximate the objective and constraint function values, which replace expensive evaluation of the objective and constraint function values in numerical simulation-based optimization. Kriging surrogate model has been widely used in surrogate-based design optimization (SBDO) to replace the highly nonlinear black-box functions. In this paper, a novel adaptive Kriging model based on parallel infilling strategy is proposed to improve both the numerical accuracy and efficiency of the SBDO methods. The parallel infilling strategy consists of two parts: local sampling and globaluthor sampling. In the local sampling, new additional sampling points are generated only within a limited region that is determined according to the optimal point at the last iteration, while in global sampling they are generated based on the fitting error estimation in the whole region. The effectiveness of the proposed algorithm is verified through applications to analytical functions. Then the algorithm is applied to the multi-objective optimal design of an ironless permanent magnet synchronous linear motor.

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Funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant number 2020R1I1A3A04037180).

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Authors and Affiliations

  1. School of Electrical Engineering, Shenyang University of Technology, Shenyang, China

    Bin Xia

  2. Guizhou Aerospace Linquan Motor Co. Ltd, Guiyang, China

    Ren Liu

  3. College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea

    Zhiwei He & Chang-Seop Koh

Authors
  1. Bin Xia
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  2. Ren Liu
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  3. Zhiwei He
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  4. Chang-Seop Koh
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Correspondence to Chang-Seop Koh.

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Xia, B., Liu, R., He, Z. et al. A Single- and Multi-objective Optimization Algorithm for Electromagnetic Devices Assisted by Adaptive Kriging Based on Parallel Infilling Strategy. J. Electr. Eng. Technol. 16, 301–308 (2021). https://doi.org/10.1007/s42835-020-00558-8

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  • DOI: https://doi.org/10.1007/s42835-020-00558-8

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