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Название: The Stochastic Traveling Salesman Problem: Finite Size Scaling and the Cavity Prediction
Авторы: Percus A.G., Martin O.C.
Journal of Statistical Physics, Vol. 94, Nos. 5/6, 1999. p. 739-758.
We study the random link traveling salesman problem, where lengths ij between city i and city j are taken to be independent, identically distributed random variables. We discuss a theoretical approach, the cavity method, that has been proposed for finding the optimum tour length over this random ensemble, given the assumption of replica symmetry. Using finite size scaling and a renormalized model, we test the cavity predictions against the results of simulations, and find excellent agreement over a range of distributions. We thus provide numerical evidence that the replica symmetric solution to this problem is the correct one. Finally, we note a surprising result concerning the distribution of kth-nearest neighbor links in optimal tours, and invite a theoretical understanding of this phenomenon.