Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art

•A comprehensive review on the integration of machine learning into meta-heuristics.•A unified taxonomy to provide a common terminology and classification.•Classification of numerous articles based on different characteristics.•Technical discussions on advantages, limitations, requirements, and chal...

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Vydané v:	European journal of operational research Ročník 296; číslo 2; s. 393 - 422
Hlavní autori:	Karimi-Mamaghan, Maryam, Mohammadi, Mehrdad, Meyer, Patrick, Karimi-Mamaghan, Amir Mohammad, Talbi, El-Ghazali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2022 Elsevier
Predmet:	Artificial Intelligence Combinatorial optimization problems Computer Science Machine learning Meta-heuristics Operations Research State-of-the-art Combinatorial optimization problems Machine learning State-of-the-art Meta-heuristics
ISSN:	0377-2217, 1872-6860
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