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Polyhedral Theory and Branch-and-Cut Algorithms for the Symmetric TSP

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The Traveling Salesman Problem and Its Variations

Part of the book series: Combinatorial Optimization ((COOP,volume 12))

Abstract

In this chapter we deal with the problem of solving symmetric TSP (STSP) instances to optimality. Of course, STSP instances are particular cases of asymmetric TSP (ATSP) instances, those for which the distance between any two cities is irrelevant of the direction. Therefore we could transform any instance of the STSP to an asymmetric one and use the results of Chapter 4 to solve it. In fact the techniques of Chapter 4 do not perform well when the costs of the arcs (i,j) and (j,i) only slightly differ. Progress in the solution techniques for the STSP is such that it is common to transform an ATSP into a symmetric one to solve it to optimality (see [474]).

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Naddef, D. (2007). Polyhedral Theory and Branch-and-Cut Algorithms for the Symmetric TSP. In: Gutin, G., Punnen, A.P. (eds) The Traveling Salesman Problem and Its Variations. Combinatorial Optimization, vol 12. Springer, Boston, MA. https://doi.org/10.1007/0-306-48213-4_2

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