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The Optimal Sampler for Diverse TSP Solutions: Characterization, Limits, and Learning

Lo, Ssu-Yuan et al.
arXiv (All) · Papers
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computational-geometrydata-structures-and-algorithmsmachine-learning
We address the Diverse Traveling Salesman Problem (D-TSP) that seeks a set of $k$ distinct TSP tours. Each selected tour must not exceed a prescribed multiple of the optimal tour length, while the maximum pairwise Jaccard similarity within the selected set is minimized. This formulation is important
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