An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems

Research article (Information Sciences, 2021) · cited 34× · AI/ML
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An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems

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An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-constrained-global-optimization-algorithm-with-a-clustering-assisted-multiobjective-infill-criterion-using-
MLA “An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-constrained-global-optimization-algorithm-with-a-clustering-assisted-multiobjective-infill-criterion-using-.
BibTeX @misc{4ortxyz_an-efficient-constrained-global-optimization-algorithm-with-a-clustering-assisted-multiobjective-infill-criterion-using-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-constrained-global-optimization-algorithm-with-a-clustering-assisted-multiobjective-infill-criterion-using-}, note = {Accessed: 2026-05-24}}
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