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TSP Heuristics: Domination Analysis and Complexity

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Abstract

We show that the 2-Opt and 3-Opt heuristics for the traveling salesman problem (TSP) on the complete graph Kn produce a solution no worse than the average cost of a tour in Kn in a polynomial number of iterations. As a consequence, we get that the domination numbers of the 2- Opt , 3- Opt , Carlier—Villon, Shortest Path Ejection Chain, and Lin—Kernighan heuristics are all at least (n-2)! / 2 . The domination number of the Christofides heuristic is shown to be no more than $\lceil{n}/{2}\rceil !$ , and for the Double Tree heuristic and a variation of the Christofides heuristic the domination numbers are shown to be one (even if the edge costs satisfy the triangle inequality). Further, unless P = NP, no polynomial time approximation algorithm exists for the TSP on the complete digraph $\vec{K}_n$ with domination number at least (n-1)!-k for any constant k or with domination number at least (n-1)! - (( k /(k+1))(n+r))!-1 for any non-negative constants r and k such that (n+r) $\equiv$ 0 mod (k+1). The complexities of finding the median value of costs of all the tours in $\vec{K}_n$ and of similar problems are also studied.

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Punnen, Margot & Kabadi TSP Heuristics: Domination Analysis and Complexity. Algorithmica 35, 111–127 (2003). https://doi.org/10.1007/s00453-002-0986-1

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  • DOI: https://doi.org/10.1007/s00453-002-0986-1

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