Deep reinforcement learning for dynamic vehicle routing with demand and traffic uncertainty

The capacitated vehicle routing problem with dynamic demand and traffic conditions presents significant challenges in logistics and supply chain optimization. Traditional methods often fail to adapt to real-time uncertainties in customer demand and traffic patterns or scale to large problem instance...

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Bibliographic Details
Main Authors: Shirali Kadyrov, Azamkhon Azamov, Yelbek Abdumajitov, Cemil Turan
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Operations Research Perspectives
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214716025000272
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