Solving Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation

Neural Information Processing Systems 

The Asymmetric Traveling Salesman Problem (ATSP) is one of the most fundamental and notoriously challenging problems in combinatorial optimization. We propose a novel continuous relaxation framework for ATSP that leverages differentiable constraints to encourage acyclic structures and valid permutations.

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