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A 4/5 - Approximation Algorithm for the Maximum Traveling Salesman Problem

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Integer Programming and Combinatorial Optimization (IPCO 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10328))

Abstract

In the maximum traveling salesman problem (Max TSP) we are given a complete undirected graph with nonnegative weights on the edges and we wish to compute a traveling salesman tour of maximum weight. We present a fast combinatorial \(\frac{4}{5}\) – approximation algorithm for Max TSP. The previous best approximation for this problem was \(\frac{7}{9}\). The new algorithm is based on a technique of eliminating difficult subgraphs via gadgets with half-edges, a new method of edge coloring and a technique of exchanging edges.

Partly supported by Polish National Science Center grant UMO-2013/11/B/ST6/01748.

J. Marcinkowski—Partially supported by Polish NSC grant 2015/18/E/ST6/00456.

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Correspondence to Katarzyna Paluch .

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Dudycz, S., Marcinkowski, J., Paluch, K., Rybicki, B. (2017). A 4/5 - Approximation Algorithm for the Maximum Traveling Salesman Problem. In: Eisenbrand, F., Koenemann, J. (eds) Integer Programming and Combinatorial Optimization. IPCO 2017. Lecture Notes in Computer Science(), vol 10328. Springer, Cham. https://doi.org/10.1007/978-3-319-59250-3_15

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  • DOI: https://doi.org/10.1007/978-3-319-59250-3_15

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