A New Upper Bound for the Traveling Salesman Problem in Cubic Graphs
Maciej Liskiewicz, Martin R. Schuster

TL;DR
This paper establishes a new upper bound of O(1.2553^n) time for solving the Traveling Salesman Problem specifically in cubic graphs, improving upon previous bounds and correcting earlier analysis errors.
Contribution
It introduces a refined algorithmic upper bound for TSP in cubic graphs and corrects prior analysis mistakes to establish a valid complexity bound.
Findings
New upper bound of O(1.2553^n) for TSP in cubic graphs
Modified Eppstein's algorithm achieves the bound
Previous bound of O(1.251^n) was invalid due to analysis errors
Abstract
We provide a new upper bound for traveling salesman problem (TSP) in cubic graphs, i.e. graphs with maximum vertex degree three, and prove that the problem for an -vertex graph can be solved in time and in linear space. We show that the exact TSP algorithm of Eppstein, with some minor modifications, yields the stated result. The previous best known upper bound was claimed by Iwama and Nakashima [Proc. COCOON 2007]. Unfortunately, their analysis contains several mistakes that render the proof for the upper bound invalid.
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Taxonomy
TopicsVehicle Routing Optimization Methods · Advanced Graph Theory Research · Complexity and Algorithms in Graphs
