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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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 35; číslo 11; s. 15279 - 15291
Hlavní autori:	Li, Jingwen, Ma, Yining, Cao, Zhiguang, Wu, Yaoxin, Song, Wen, Zhang, Jie, Chee, Yeow Meng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.11.2024
Predmet:	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
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