A Lower Bound for the Max Entropy Algorithm for TSP
November 03, 2023 Β· Declared Dead Β· π Conference on Integer Programming and Combinatorial Optimization
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Authors
Billy Jin, Nathan Klein, David P. Williamson
arXiv ID
2311.01950
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.CO
Citations
1
Venue
Conference on Integer Programming and Combinatorial Optimization
Last Checked
4 months ago
Abstract
One of the most famous conjectures in combinatorial optimization is the four-thirds conjecture, which states that the integrality gap of the subtour LP relaxation of the TSP is equal to $\frac43$. For 40 years, the best known upper bound was 1.5, due to Wolsey (1980). Recently, Karlin, Klein, and Oveis Gharan (2022) showed that the max entropy algorithm for the TSP gives an improved bound of $1.5 - 10^{-36}$. In this paper, we show that the approximation ratio of the max entropy algorithm is at least 1.375, even for graphic TSP. Thus the max entropy algorithm does not appear to be the algorithm that will ultimately resolve the four-thirds conjecture in the affirmative, should that be possible.
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