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Found 2 papers, 2 papers with code
A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems
Experimental results show that the proposed CNN embedding layer and partial self-attention are very effective in improving performance and computational complexity.
Learning Geometric Combinatorial Optimization Problems using Self-attention and Domain Knowledge
In the decoder, a new masking scheme using domain knowledge is proposed to provide a high penalty when the geometric requirement of the problem is not satisfied.
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