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On the b-Partite Random Asymmetric Traveling Salesman Problem and Its Assignment Relaxation

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Approximation, Randomization, and Combinatorial Optimization: Algorithms and Techniques (RANDOM 2001, APPROX 2001)

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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References

  1. Angluin, D. Valiant, L.G.:Fast probabilistic algorithms for Hamiltonian circuits and matchings. J. Comp. Sys. Sci. 18: (1979) 155–194

    Article  MATH  MathSciNet  Google Scholar 

  2. Chalasani, P., Motwani, R., Rao, A.: Approximation Algorithms for Robot Grasp and Delivery. In: Proceedings 2nd International Workshop on Algorithmic Foundations of Robotics (WAFR). Toulouse, France (1996)

    Google Scholar 

  3. Frieze, A., Karp, M., Reed, B.: When is the Assignment Bound Tight for the Asymmetric Traveling-Salesman Problem? SIAM J. on Computing 24 (1995) 484–493

    Article  MATH  MathSciNet  Google Scholar 

  4. Frieze, A., Sorkin, G.B.: The probabilistic relationship between the assignment and asymmetric traveling salesman problems. In: Proceedings ACM-SIAM Symposium on Discrete Algorithms (SODA). Washington D.C. (2001) 652–660

    Google Scholar 

  5. Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G., Shmoys, D.G. (editors): The Traveling Salesman Problem-A Guided Tour of Combinatorial Optimization. John Wiley & Sons (1985)

    Google Scholar 

  6. Michel, C., Schroeter, H., Srivastav, A.: Approximation algorithms for pick-and-place robots. Preprint (2001)

    Google Scholar 

  7. Miller, D.L., Pekny, J.F.: Exact solution of large asymmetric traveling salesman problems. Science 251 (1991) 754–762

    Article  Google Scholar 

  8. Walkup, D.W.: Matchings in random regular bipartite graphs. Discrete Mathematics 31 (1980) 59–64

    Article  MATH  MathSciNet  Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42470-3

  • Online ISBN: 978-3-540-44666-8

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