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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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 58; no. 5; p. 130
Main Authors:	Chung, K. T., Lee, C. K. M., Tsang, Y. P.
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 14.02.2025 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
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