Learning to solving vehicle routing problems via local–global feature fusion transformer

Abstract Applying Combinatorial optimization problems such as the Vehicle Routing Problems (VRPs) have attracted increasing interest with the emergence of learning-based methods. However, existing neural approaches often struggle to generalize across diverse problem sizes and node distributions, lim...

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Principais autores:	Wei Li, Bing Tian Dai, Xueming Yan, Junying Zou, Zhijie Liang, Jingwen Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	Springer 2025-07-01
Series:	Complex & Intelligent Systems
Assuntos:	Vehicle routing problems Deep reinforcement learning Cross-size and cross-distribution generalization Learning to optimize
Acceso en liña:	https://doi.org/10.1007/s40747-025-02018-0
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