Faster algorithms for feedback arc set tournament, Kemeny rank aggregation and betweenness tournament

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Abstract

We study fixed parameter algorithms for three problems: Kemeny rank aggregation, feedback arc set tournament, and betweenness tournament. For Kemeny rank aggregation we give an algorithm with runtime O*(2 O(√OPT)), where n is the number of candidates, OPT ≤ ( n2) is the cost of the optimal ranking, and O*(•) hides polynomial factors. This is a dramatic improvement on the previously best known runtime of O*(2O(OPT)). For feedback arc set tournament we give an algorithm with runtime O*(2 O(√OPT)), an improvement on the previously best known O*(OPTO(√OPT)) [4]. For betweenness tournament we give an algorithm with runtime O*(2O(√OPT/n)), where n is the number of vertices and OPT ≤ (n3) is the optimal cost. This improves on the previously known O*(OPTO(OPT1/3)) [28], especially when OPT is small. Unusually we can solve instances with OPT as large as n (log n)2 in polynomial time! © 2010 Springer-Verlag.

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Karpinski, M., & Schudy, W. (2010). Faster algorithms for feedback arc set tournament, Kemeny rank aggregation and betweenness tournament. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6506 LNCS, pp. 3–14). https://doi.org/10.1007/978-3-642-17517-6_3

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