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Approximation Algorithms for Prize-Collecting Capacitated Network Design Problems

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Frontiers of Algorithmic Wisdom (IJTCS-FAW 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13461))

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Abstract

In this paper, we study the prize-collecting capacitated network design (PCCND) problem. We have to route the demand of each source to some sinks in a network, or eventually pay the prize to not serving the demand. We need to install multiple cables on the edges of the network to support the service. The goal is to find a feasible solution with the minimum cost. We give a 3.482-approximation algorithm for the PCCND. We also consider a special case of the PCCND, in which there is only one given sink, and present a 2.9672-approximation algorithm.

The research of the first author is supported by the National Natural Science Foundation of China (No. 12001523). The second author is supported by the national key research and development program of China under grant No. 2019YFB2102200, and by the Fundamental Research Funds for the Central Universities No. 2242022R10024.

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Correspondence to Vincent Chau .

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Han, L., Chau, V., Fong, C.K.K. (2022). Approximation Algorithms for Prize-Collecting Capacitated Network Design Problems. In: Li, M., Sun, X. (eds) Frontiers of Algorithmic Wisdom. IJTCS-FAW 2022. Lecture Notes in Computer Science, vol 13461. Springer, Cham. https://doi.org/10.1007/978-3-031-20796-9_16

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  • DOI: https://doi.org/10.1007/978-3-031-20796-9_16

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-20796-9

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