2024
DOI: 10.5755/j01.itc.53.1.35922
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A Multi-level Surrogate-assisted Algorithm for Expensive Optimization Problems

Liang Hu,
Xianwei Wu,
Xilong Che

Abstract: With the development of computer science, more and more complex problems rely on the help of computers for solving. When facing the parameter optimization problem of complex models, traditional intelligent optimization algorithms often require multiple iterations on the target problem. It can bring unacceptable costs and resource costs in dealing with these complex problems. In order to solve the parameter optimization of complex problems, in this paper we propose a multi-level surrogate-assisted optimization … Show more

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