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Differential Approximation Results for the Traveling Salesman Problem with Distances 1 and 2

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Fundamentals of Computation Theory (FCT 2001)

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Abstract

We prove that both minimum and maximum traveling salesman problems on complete graphs with edge-distances 1 and 2 are approximable within 3/4. Based upon this result, we improve the standard approximation ratio known for maximum traveling salesman with distances 1 and 2 from 3/4 to 7/8. Finally, we prove that, for any ε > 0, it is NP-hard to approximate both problems within better than 5379/5380 + ε.

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References

  1. A. Aiello, E. Burattini, M. Furnari, A. Massarotti, and F. Ventriglia. Computational complexity: the problem of approximation. In C. M. S. J. Bolyai, editor, Algebra, combinatorics, and logic in computer science, volume I, pages 51–62, New York, 1986. North-Holland.

    Google Scholar 

  2. G. Ausiello, A. D’Atri, and M. Protasi. Structure preserving reductions among convex optimization problems. J. Comput. System Sci., 21:136–153, 1980.

    Article  MATH  MathSciNet  Google Scholar 

  3. G. Ausiello, A. Marchetti-Spaccamela, and M. Protasi. Towards a unified approach for the classification of NP-complete optimization problems. Theoret. Comput. Sci., 12:83–96, 1980.

    Article  MATH  MathSciNet  Google Scholar 

  4. M. Bellare and P. Rogaway. The complexity of approximating a nonlinear program. Math. Programming, 69:429–441, 1995.

    MathSciNet  Google Scholar 

  5. G. Cornuejols, M. L. Fisher, and G. L. Nemhauser. Location of bank accounts to optimize float: an analytic study of exact and approximate algorithms. Management Science, 23(8):789–810, 1977.

    MATH  MathSciNet  Google Scholar 

  6. M. Demange, P. Grisoni, and V. T. Paschos. Differential approximation algorithms for some combinatorial optimization problems. Theoret. Comput. Sci., 209:107–122, 1998.

    Article  MATH  MathSciNet  Google Scholar 

  7. M. Demange and V. T. Paschos. On an approximation measure founded on the links between optimization and polynomial approximation theory. Theoret. Comput. Sci., 158:117–141, 1996.

    Article  MATH  MathSciNet  Google Scholar 

  8. L. Engebretsen. An explicit lower bound for TSP with distances one and two. In Proc. STACS’99, volume 1563 of LNCS, pages 373–382. Springer, 1999.

    Google Scholar 

  9. M. R. Garey and D. S. Johnson. Computers and intractability. A guide to the theory of NP-completeness. W. H. Freeman, San Francisco, 1979.

    MATH  Google Scholar 

  10. D. B. Hartvigsen. Extensions of matching theory. PhD thesis, Carnegie-Mellon University, 1984.

    Google Scholar 

  11. J. Monnot, V. T. Paschos, and S. Toulouse. Differential approximation results for the traveling salesman problem. Cahier du LAMSADE 172, LAMSADE, Université Paris-Dauphine, 2000.

    Google Scholar 

  12. C. H. Papadimitriou and M. Yannakakis. The traveling salesman problem with distances one and two. Math. Oper. Res., 18:1–11, 1993.

    MATH  MathSciNet  Google Scholar 

  13. A. I. Serdyukov. An algorithm with an estimate for the traveling salesman problem of the maximum. Upravlyaemye Sistemy, 25:80–86, 1984.

    MATH  MathSciNet  Google Scholar 

  14. S. A. Vavasis. Approximation algorithms for indefinite quadratic programming. Math. Programming, 57:279–311, 1992.

    Article  MATH  MathSciNet  Google Scholar 

  15. E. Zemel. Measuring the quality of approximate solutions to zero-one programming problems. Math. Oper. Res., 6:319–332, 1981.

    Article  MATH  MathSciNet  Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Monnot, J., Paschos, V.T., Toulouse, S. (2001). Differential Approximation Results for the Traveling Salesman Problem with Distances 1 and 2. In: Freivalds, R. (eds) Fundamentals of Computation Theory. FCT 2001. Lecture Notes in Computer Science, vol 2138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44669-9_27

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  • DOI: https://doi.org/10.1007/3-540-44669-9_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42487-1

  • Online ISBN: 978-3-540-44669-9

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