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A multi-objective optimization design to generate surrogate machine learning models in explainable artificial intelligence applications

Research article (EURO Journal on Decision Processes, 2023) · cited 17× · AI/ML
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A multi-objective optimization design to generate surrogate machine learning models in explainable artificial intelligence applications

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A multi-objective optimization design to generate surrogate machine learning models in explainable artificial intelligence applications is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A multi-objective optimization design to generate surrogate machine learning models in explainable artificial intelligence applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-objective-optimization-design-to-generate-surrogate-machine-learning-models-in-explainable-artificial-intelligen
MLA “A multi-objective optimization design to generate surrogate machine learning models in explainable artificial intelligence applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-objective-optimization-design-to-generate-surrogate-machine-learning-models-in-explainable-artificial-intelligen.
BibTeX @misc{4ortxyz_a-multi-objective-optimization-design-to-generate-surrogate-machine-learning-models-in-explainable-artificial-intelligen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-objective optimization design to generate surrogate machine learning models in explainable artificial intelligence applications}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-objective-optimization-design-to-generate-surrogate-machine-learning-models-in-explainable-artificial-intelligen}, note = {Accessed: 2026-05-24}}
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