Abstract
We study the relationship between the value of optimal solutions to the random asymmetric b-partite traveling salesman problem and its assignment relaxation. In particular we prove that given a bn×bn weight matrix W = (w ij) such that each finite entry has probability p n of being zero, the optimal values bATSP(W) and AP(W) are equal (almost surely), whenever np n tends to infinity with n. On the other hand, if np n tends to some constant c then ℙ[bATSP(W) ≠ AP(W) > ε > 0, and for np n → 0, ℙ[bATSP(W) ≠ AP(W) → 1 (a.s.). This generalizes results of Frieze, Karp and Reed (1995) for the ordinary asymmetric TSP.
Supported by the graduate school “Effiziente Algorithmen und Mehrskalenmethoden”, Deutsche Forschungsgemeinschaft.
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Baltz, A., Schoen, T., Srivastav, A. (2001). On the b-Partite Random Asymmetric Traveling Salesman Problem and Its Assignment Relaxation. In: Goemans, M., Jansen, K., Rolim, J.D.P., Trevisan, L. (eds) Approximation, Randomization, and Combinatorial Optimization: Algorithms and Techniques. RANDOM APPROX 2001 2001. Lecture Notes in Computer Science, vol 2129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44666-4_22
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DOI: https://doi.org/10.1007/3-540-44666-4_22
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