An efficient computational method for estimating failure credibility by combining genetic algorithm and active learning Kriging

Research article (Structural and Multidisciplinary Optimization, 2020) · cited 15× · AI/ML
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An efficient computational method for estimating failure credibility by combining genetic algorithm and active learning Kriging

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An efficient computational method for estimating failure credibility by combining genetic algorithm and active learning Kriging is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient computational method for estimating failure credibility by combining genetic algorithm and active learning Kriging. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-computational-method-for-estimating-failure-credibility-by-combining-genetic-algorithm-and-active-learning-
MLA “An efficient computational method for estimating failure credibility by combining genetic algorithm and active learning Kriging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-computational-method-for-estimating-failure-credibility-by-combining-genetic-algorithm-and-active-learning-.
BibTeX @misc{4ortxyz_an-efficient-computational-method-for-estimating-failure-credibility-by-combining-genetic-algorithm-and-active-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient computational method for estimating failure credibility by combining genetic algorithm and active learning Kriging}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-computational-method-for-estimating-failure-credibility-by-combining-genetic-algorithm-and-active-learning-}, note = {Accessed: 2026-05-24}}
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