Dynamic graph Conv-LSTM model with dynamic positional encoding for the large-scale traveling salesman problem
Recent research has showen that deep reinforcement learning (DRL) can be used to design better heuristics for the traveling salesman problem (TSP) on the small scale, but does not do well when generalized to large instances. In order to improve the generalization ability of the model when the nodes...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2022-07-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022452?viewType=HTML |