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Algorithms for connected p-centdian problem on block graphs

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Abstract

We consider the facility location problem of locating a set \(X_p\) of p facilities (resources) on a network (or a graph) such that the subnetwork (or subgraph) induced by the selected set \(X_p\) is connected. Two problems on a block graph G are proposed: one problem is to minimizes the sum of its weighted distances from all vertices of G to \(X_p\), another problem is to minimize the maximum distance from each vertex that is not in \(X_p\) to \(X_p\) and, at the same time, to minimize the sum of its distances from all vertices of G to \(X_p\). We prove that the first problem is linearly solvable on block graphs with unit edge length. For the second problem, it is shown that the set of Pareto-optimal solutions of the two criteria has cardinality not greater than n, and can be obtained in \(O(n^2)\) time, where n is the number of vertices of the block graph G.

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Acknowledgments

Research was partially supported by the National Nature Science Foundation of China (Nos. 11471210 and 11571222)

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Correspondence to Erfang Shan.

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Kang, L., Zhou, J. & Shan, E. Algorithms for connected p-centdian problem on block graphs. J Comb Optim 36, 252–263 (2018). https://doi.org/10.1007/s10878-016-0058-0

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  • DOI: https://doi.org/10.1007/s10878-016-0058-0

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