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Abstract
We present acombinatorial primal-dual 7-approximation algorithm for thek-level stochastic facility location problem, the stochastic counterpart of the standardk-level facility location problem. This approximation ratio is slightly worse than that of the primal-dual 6-approximation for the standardk-level facility location problem [3] because of the extra stochastic assumption. This new result complements the recentnon-combinatorial 3-approximation algorithm for the same problem by Wang et al [21].
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Authors and Affiliations
Department of Applied Mathematics, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing, 100124, P.R. China
Zhen Wang & Dachuan Xu
Faculty of Business Administration, University of New Brunswick, Fredericton, NB, Canada, E3B 5A3
Donglei Du
- Zhen Wang
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- Donglei Du
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- Dachuan Xu
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Warwick Business School/ DIMAP - Centre for Discrete Mathematics and its Applications Coventry, University of Warwick, CV4 7AL, UK
Bo Chen
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Wang, Z., Du, D., Xu, D. (2010). A Primal-Dual Approximation Algorithm for thek-Level Stochastic Facility Location Problem. In: Chen, B. (eds) Algorithmic Aspects in Information and Management. AAIM 2010. Lecture Notes in Computer Science, vol 6124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14355-7_26
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