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arXiv · 2210.05906

Travel the Same Path: A Novel TSP Solving Strategy

Pingbang Hu
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Abstract

In this paper, we provide a novel strategy for solving Traveling Salesman Problem, which is a famous combinatorial optimization problem studied intensely in the TCS community. In particular, we consider the imitation learning framework, which helps a deterministic algorithm making good choices whenever it needs to, resulting in a speed up while maintaining the exactness of the solution without suffering from the unpredictability and a potential large deviation. Furthermore, we demonstrate a strong generalization ability of a graph neural network trained under the imitation learning framework. Specifically, the model is capable of solving a large instance of TSP faster than the baseline while has only seen small TSP instances when training.

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Pingbang Hu. 2022-10-12. Travel the Same Path: A Novel TSP Solving Strategy. https://arxiv.org/abs/2210.05906

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