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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Veröffentlicht in:	European journal of operational research Jg. 296; H. 2; S. 393 - 422
Hauptverfasser:	Karimi-Mamaghan, Maryam, Mohammadi, Mehrdad, Meyer, Patrick, Karimi-Mamaghan, Amir Mohammad, Talbi, El-Ghazali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2022 Elsevier
Schlagworte:	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
Online-Zugang:	Volltext
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