A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming

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Název: A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming
Autoři: Shulei Liu, Handing Wang, Wen Yao
Zdroj: Applied Soft Computing. 126:109263
Informace o vydavateli: Elsevier BV, 2022.
Rok vydání: 2022
Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Druh dokumentu: Article
Jazyk: English
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2022.109263
Rights: Elsevier TDM
Přístupové číslo: edsair.doi...........b5fbfb47e58f3a27cadfaa2c15e19c94
Databáze: OpenAIRE
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ISSN:15684946
DOI:10.1016/j.asoc.2022.109263