Neural combinatorial optimization with reinforcement learning in industrial engineering: a survey

In recent trends, machine learning is widely used to support decision-making in various domains and industrial operations. Because of the increasing complexity of modern industries, industrial engineering aims not only to increase cost-effectiveness and productivity but also to consider sustainabili...

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Vydáno v:	The Artificial intelligence review Ročník 58; číslo 5; s. 130
Hlavní autoři:	Chung, K. T., Lee, C. K. M., Tsang, Y. P.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 14.02.2025 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Combinatorial analysis Complexity Computer Science Cost analysis Cost effectiveness Decision making Engineering Heuristic Heuristic methods Human factors Industrial engineering Machine learning Operations research Optimization Polls & surveys Productivity Reinforcement Resilience Sustainability Sustainable development Vehicle routing Industrial engineering Neural combinatorial optimization Operations research Review Reinforcement learning
ISSN:	1573-7462, 0269-2821, 1573-7462
On-line přístup:	Získat plný text
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