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   <subfield code="a">The Directed Orienteering Problem</subfield>
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   <subfield code="c">[Viswanath Nagarajan, R. Ravi]</subfield>
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   <subfield code="a">This paper studies vehicle routing problems on asymmetric metrics. Our starting point is the directed k-TSP problem: given an asymmetric metric (V,d), aroot r∈V and a target k≤|V|, compute the minimum length tour that contains r and at least k other vertices. We present a polynomial time $O(\frac{\log^{2} n}{\log\log n}\cdot\log k)$-approximation algorithm for this problem. We use this algorithm for directed k-TSP to obtain an $O(\frac{\log^{2} n}{\log\log n})$-approximation algorithm for the directed orienteering problem. This answers positively, the question of poly-logarithmic approximability of directed orienteering, an open problem from Blum et al. (SIAM J. Comput. 37(2):653-670, 2007). The previously best known results were quasi-polynomial time algorithms with approximation guarantees of O(log 2 k) for directed k-TSP, and O(log n) for directed orienteering (Chekuri and Pal in IEEE Symposium on Foundations in Computer Science, pp.245-253, 2005). Using the algorithm for directed orienteering within the framework of Blum et al. (SIAM J. Comput. 37(2):653-670, 2007) and Bansal et al. (ACM Symposium on Theory of Computing, pp.166-174, 2004), we also obtain poly-logarithmic approximation algorithms for the directed versions of discounted-reward TSP and vehicle routing problem with time-windows.</subfield>
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