A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems

Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 10× · AI/ML
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A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems

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A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-surrogate-multi-tasking-genetic-algorithm-with-an-adaptive-training-sample-selection-strategy-for-expensive-opti
MLA “A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-surrogate-multi-tasking-genetic-algorithm-with-an-adaptive-training-sample-selection-strategy-for-expensive-opti.
BibTeX @misc{4ortxyz_a-multi-surrogate-multi-tasking-genetic-algorithm-with-an-adaptive-training-sample-selection-strategy-for-expensive-opti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-surrogate-multi-tasking-genetic-algorithm-with-an-adaptive-training-sample-selection-strategy-for-expensive-opti}, note = {Accessed: 2026-05-24}}
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