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The Maximum Traveling Salesman Problem Under Polyhedral Norms

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Integer Programming and Combinatorial Optimization (IPCO 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1412))

Abstract

We consider the traveling salesman problem when the cities are points in Rd for some fixed d and distances are computed according to a polyhedral norm. We show that for any such norm, the problem of finding a tour of maximum length can be solved in polynomial time. If arithmetic operations are assumed to take unit time, our algorithms run in time O(n f−2 log n), where f is the number of facets of the polyhedron determining the polyhedral norm. Thus for example we have O(n 2 log n) algorithms for the cases of points in the plane under the Rectilinear and Sup norms. This is in contrast to the fact that finding a minimum length tour in each case is NP-hard.

Supported by an Alfred P. Sloan Research Fellowship and NSF grant DMS 9501129.

Supported by the START program Y43-MAT of the Austrian Ministry of Science.

Supported by the NSF through the REU Program.

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© 1998 Springer-Verlag Berlin Heidelberg

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Barvinok, A., Johnson, D.S., Woeginger, G.J., Woodroofe, R. (1998). The Maximum Traveling Salesman Problem Under Polyhedral Norms. In: Bixby, R.E., Boyd, E.A., Ríos-Mercado, R.Z. (eds) Integer Programming and Combinatorial Optimization. IPCO 1998. Lecture Notes in Computer Science, vol 1412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69346-7_15

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  • DOI: https://doi.org/10.1007/3-540-69346-7_15

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  • Print ISBN: 978-3-540-64590-0

  • Online ISBN: 978-3-540-69346-8

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