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ABSTRACT
We design a polynomial time 8/7-approximation algorithm for the Traveling Salesman Problem in which all distances are either one or two. This improves over the best known approximation factor for that problem. As a direct application we get a 7/6-approximation algorithm for the Maximum Path Cover Problem, similarly improving upon the best known approximation factor for that problem. The result depends on a new method of consecutive path cover improvements and on a new analysis of certain related color alternating paths. This method could be of independent interest.
REFERENCES
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{BR05} M. Bläser and L. Shankar Ram, An Improved Approximation for TSP with Distances One and Two, Proc. 15th FCT (2005), LNCS 3623, Springer, 2005, pp. 504--515.
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{C76} N. Christofides, Worst-Case Analysis of a New Heuristic for the Traveling Salesman Problem, Technical Report, GSIA, Carnegie-Mellon University, 1976.
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{H84} D. B. Hardvigsen, Extensions of Matching Theory, Ph. D. Thesis, Carnegie Mellon University, 1984.
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{K72} R. M. Karp, Reducibility among Combinatorial Problems, in R. E. Miller and J. W. Thatcher (Eds.), Plenum, New York, 1972.
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