2021
DOI: 10.1007/s40747-021-00277-1
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A bi-stage surrogate-assisted hybrid algorithm for expensive optimization problems

Abstract: Surrogate-assisted meta-heuristic algorithms have shown good performance to solve the computationally expensive problems within a limited computational resource. Compared to the method that only one surrogate model is utilized, the surrogate ensembles have shown more efficiency to get a good optimal solution. In this paper, we propose a bi-stage surrogate-assisted hybrid algorithm to solve the expensive optimization problems. The framework of the proposed method is composed of two stages. In the first stage, a… Show more

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Cited by 10 publications
(4 citation statements)
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“… 2021b ; Ren et al. 2021 ). The space of these surrogate models is constructed based on real values, but it is a challenging proposing surrogate models suitable for binary problems.…”
Section: Future Research Prospectsmentioning
confidence: 99%
“… 2021b ; Ren et al. 2021 ). The space of these surrogate models is constructed based on real values, but it is a challenging proposing surrogate models suitable for binary problems.…”
Section: Future Research Prospectsmentioning
confidence: 99%
“…Using multiple surrogate models has been shown better performance than using a single one to assist evolutionary algorithms for expensive optimization problems [31,39]. Thus, in this paper, we also adopt to use multiple models to assist the evolutionary algorithm.…”
Section: Overall Frameworkmentioning
confidence: 99%
“…To evaluate the performance of our proposed MIC-assisted HEA, we further compare the results on seven benchmark problems obtained by MIC-assisted HEA to those obtained by algorithms recently proposed for computationally expensive problems (including GORS-SSLPSO [43], CAL-SAPSO [39], SHPSO [44], MGP-SLPSO [37], BiS-SAHA [31] and DDEA-SE [40]). Among all comparison algorithms, CAL-SAPSO and DDEA-SE are proposed for low-dimensional expensive problems and others are presented for high-dimensional ones.…”
Section: Comparison To Other Recently Proposed Algorithmsmentioning
confidence: 99%
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