Abstract
In this paper, the NP-hard k-center problem with vertex weight is investigated. The problem is to choose k vertices as service centers so that the maximum weighted service delivery distance to any vertex is minimized. The notions of a neighbor vertex set and a d-restricted digraph based on weighted distance are introduced. The proposed algorithm uses a greedy strategy to choose the vertex with maximum vertex weight as the next service vertex. We have proved that the proposed algorithm generates results that are guaranteed to be no greater than twice the optimal solution values. This is the best possible polynomial time heuristic unless P=NP.
This research is based in part upon work supported by the Texas Advanced Research Program under grant 1028-ARP.
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6. References
T. Feder and D. H. Greene, Optimal Algorithms for Approximate Clustering, ACM Symposium on Theory of Computing, 1988, pp. 434–444.
M. R. Garey and D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, Freeman, San Francisco, 1979.
T. F. González, Clustering to Minimize the Maximum Intercluster Distance, Theoretical Computer Science, Vol. 38, 1985, pp. 293–306.
G. Y. Handler and P. B. Mirchandani, Location on Networks: Theory and Algorithms, MIT Press, Cambridge, MA, 1979.
D. S. Hochbaum and D. B. Shmoys, A Unified Approach to Approximation Algorithms for Bottleneck Problems, Journal of ACM, Vol. 33, 1986, pp. 533–550.
O. Kariv and S. L. Hakimi, An Algorithmic Approach to Network Location Problems. Part I: The p-Centers, SIAM Journal of Appl. Math., Vol. 37, 1979, pp. 513–538.
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© 1990 Springer-Verlag Berlin Heidelberg
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Wang, Q., Cheng, K.H. (1990). A heuristic algorithm for the k-center problem with vertex weight. In: Asano, T., Ibaraki, T., Imai, H., Nishizeki, T. (eds) Algorithms. SIGAL 1990. Lecture Notes in Computer Science, vol 450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52921-7_88
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DOI: https://doi.org/10.1007/3-540-52921-7_88
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