Learning Feature Embedding Refiner for Solving Vehicle Routing Problems

While the encoder-decoder structure is widely used in the recent neural construction methods for learning to solve vehicle routing problems (VRPs), they are less effective in searching solutions due to deterministic feature embeddings and deterministic probability distributions. In this article, we...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 35; H. 11; S. 15279 - 15291
Hauptverfasser:	Li, Jingwen, Ma, Yining, Cao, Zhiguang, Wu, Yaoxin, Song, Wen, Zhang, Jie, Chee, Yeow Meng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2024
Schlagworte:	Costs Decoding Encoder–decoder structure Logic gates neural combinatorial optimization Probability distribution reinforcement learning Routing Search problems Vehicle routing vehicle routing problems (VRPs)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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