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Study of the temperature configuration of parallel tempering for the traveling salesman problem

    The effective temperature configuration of parallel tempering (PT) in finite-time optimization is studied for the solution of the traveling salesman problem. An experimental analysis is conducted to decide the relative importance of the two characteristic temperatures, the specific-heat-peak temperature referred to in the general guidelines and the effective intermediate temperature identified in the recent study on simulated annealing (SA). The results show that the operation near the former has no notable significance contrary to the conventional belief but that the operation near the latter plays a crucial role in fulfilling the optimization function of PT. The method shares the same origin of effectiveness with the SA and SA-related algorithms.

    PACS Nos.: 02.60.Pn, 05.10.a, 89.20.a, 81.40.Ef

    References

    • 1. M. C. Tesi, E. J. Janse van Rensburg, E. Orlandini and S. G. Whittington, J. Stat. Phys. 82, 155 (1996). Crossref, ISI, ADSGoogle Scholar
    • 2. E. Marinari, G. Parisi and J. J. Ruiz-Lorenzo, Spin Glasses and Random Fields, ed. A. P. Young (World Scientific, Singapore, 1998), p. 59. Google Scholar
    • 3. B. Coluzzi and G. Parisi, J. Phys. A 31, 4349 (1998). Crossref, ADSGoogle Scholar
    • 4. K. Hukushima and K. Nemoto, J. Phys. Soc. Jpn. 65, 1604 (1996). Crossref, ADSGoogle Scholar
    • 5. N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller and E. Teller, J. Chem. Phys. 21, 1087 (1953). Crossref, ISI, ADSGoogle Scholar
    • 6. U. H. E. Hansmann and Y. Okamoto, J. Comput. Chem. 14, 1333 (1993). Crossref, ISIGoogle Scholar
    • 7. M. R. Garey and D. S. Johnson, Computers and Intractability, A Guide to the Theory of NP-Completeness (Freeman, San Francisco, 1979). Google Scholar
    • 8. K. Kimura and K. Taki, Proc. 13th IMACS World Congress on Computation and Applied Mathematics (IMACS’91), eds. R. VichnevetskyJ. J. H. Miller, Vol. 2 (Criterion Press, Dublin, 1991), p. 827. Google Scholar
    • 9. J. J. Schneider and S. Kirkpatrick, Stochastic Optimization (Springer, Berlin, 2006), p.130; ibid., p. 334. Google Scholar
    • 10. C. Wang, J. D. Hyman, A. Percus and R. Caflisch, Int. J. Mod. Phys. C 20, 539 (2009). Link, ISI, ADSGoogle Scholar
    • 11. S. Kirkpatrick, C. D. Gelatt, Jr. and M. P. Vecchi, Science 220, 671 (1983). Crossref, ISI, ADSGoogle Scholar
    • 12. V. Černý, J. Optim. Theory Appl. 45, 41 (1985). Crossref, ISIGoogle Scholar
    • 13. M. Hasegawa, Phys. Rev. E 83, 036708 (2011). Crossref, ISI, ADSGoogle Scholar
    • 14. M. Hasegawa, Phys. Rev. E 85, 056704 (2012). Crossref, ISI, ADSGoogle Scholar
    • 15. E. L. LawlerJ. K. LenstraA. H. G. Rinnooy KanD. B. Shmoys (eds.), The Traveling Salesman Problem, A Guided Tour of Combinatorial Optimization (Wiley, Chichester, 1985). Google Scholar
    • 16. D. S. Johnson and L. A. McGeoch, Local Search in Combinatorial Optimization, eds. E. H. L. AartsJ. K. Lenstra (Wiley, Chichester, 1997), p. 215. Google Scholar
    • 17. K. Hukushima, Phys. Rev. E 60, 3606 (1999). Crossref, ISI, ADSGoogle Scholar
    • 18. M. Hasegawa, Comput. Phys. Commun. 182, 229 (2011). Crossref, ISI, ADSGoogle Scholar
    Published: 18 April 2018

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