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A Constructive Heuristic for the Uniform Capacitated Vertex k-center Problem

Published: 11 August 2023 Publication History

Abstract

The uniform capacitated vertex k-center problem is an 𝒩𝒫-hard combinatorial optimization problem that models real situations where k centers can only attend a maximum number of customers, and the travel time or distance from the customers to their assigned center has to be minimized. This article introduces a polynomial-time constructive heuristic algorithm that exploits the relationship between this problem and the minimum capacitated dominating set problem. The proposed heuristic is based on the one-hop farthest-first heuristic that has proven effective for the uncapacitated version of the problem. We carried out different empirical evaluations of the proposed heuristic, including an analysis of the effect of a parallel implementation of the algorithm, which significantly improved the running time for relatively large instances.

References

[1]
Abdulrahman Al-Khedhairi and Said Salhi. 2005. Enhancements to two exact algorithms for solving the vertex \({P}\) -center problem. J. Math. Model. Algor. 4, 2 (2005), 129–147.
[2]
Maria Albareda-Sambola, Juan A. Díaz, and Elena Fernández. 2010. Lagrangean duals and exact solution to the capacitated \(p\) -center problem. Eur. J. Operat. Res. 201, 1 (2010), 71–81.
[3]
Hyung-Chan An, Aditya Bhaskara, Chandra Chekuri, Shalmoli Gupta, Vivek Madan, and Ola Svensson. 2015. Centrality of trees for capacitated \(k\) -center. Math. Program. 154, 1-2 (2015), 29–53.
[4]
Judit Barilan, Guy Kortsarz, and David Peleg. 1993. How to allocate network centers. J. Algor. 15, 3 (1993), 385–415.
[5]
John E. Beasley. 1990. OR-library: Distributing test problems by electronic mail. J. Operat. Res. Soc. 41, 11 (1990), 1069–1072.
[6]
Hatice Çalık, Martine Labbé, and Hande Yaman. 2019. \(p\) -Center problems. In Location Science (2nd ed.), G. Laporte, S. Nickel, and F. Saldanha da Gama (Eds.). Springer, Cham, Chapter 3, 51–65.
[7]
Hatice Calik and Barbaros C. Tansel. 2013. Double bound method for solving the \(p\) -center location problem. Comput. Operat. Res. 40, 12 (2013), 2991–2999.
[8]
Doron Chen and Reuven Chen. 2009. New relaxation-based algorithms for the optimal solution of the continuous and discrete \(p\) -center problems. Comput. Operat. Res. 36, 5 (2009), 1646–1655.
[9]
Claudio Contardo, Manuel Iori, and Raphael Kramer. 2019. A scalable exact algorithm for the vertex \(p\) -center problem. Comput. Operat. Res. 103 (2019), 211–220.
[10]
José Alejandro Cornejo Acosta, Jesús García Díaz, Ricardo Menchaca-Méndez, and Rolando Menchaca-Méndez. 2020. Solving the capacitated vertex k-center problem through the minimum capacitated dominating set problem. Mathematics 8, 9 (2020), 1551.
[11]
Mark S. Daskin. 2000. A new approach to solving the vertex \(p\) -center problem to optimality: Algorithm and computational results. Commun. Operat. Res. Soc. Japan 45, 9 (2000), 428–436.
[12]
Mark S. Daskin. 2011. Network and Discrete Location: Models, Algorithms, and Applications. Wiley, New York.
[13]
Martin E. Dyer and Alan M. Frieze. 1985. A simple heuristic for the \(p\) -centre problem. Operat. Res. Lett. 3, 6 (1985), 285–288.
[14]
Sourour Elloumi, Martine Labbé, and Yves Pochet. 2004. A new formulation and resolution method for the \(p\) -center problem. INFORMS J. Comput. 16, 1 (2004), 84–94.
[15]
Erhan Erkut. 1990. The discrete \(p\) -dispersion problem. European Journal of Operational Research 46, 1 (1990), 48–60.
[16]
Michael J. Flynn. 1972. Some computer organizations and their effectiveness. IEEE Trans. Comput. C–21, 9 (1972), 948–960.
[17]
Jesus Garcia-Diaz, Rolando Menchaca-Mendez, Ricardo Menchaca-Mendez, Saúl Pomares Hernández, Julio César Pérez-Sansalvador, and Noureddine Lakouari. 2019. Approximation algorithms for the vertex k-Center problem: Survey and experimental evaluation. IEEE Access 7 (2019), 109228–109245.
[18]
Jesus Garcia-Diaz, Jairo Sanchez-Hernandez, Ricardo Menchaca-Mendez, and Rolando Menchaca-Mendez. 2017. When a worse approximation factor gives better performance: A 3-approximation algorithm for the vertex k-center problem. J. Heurist. 23, 5 (2017), 349–366.
[19]
Jesús García Diaz, Ricardo Menchaca Méndez, Jairo Sánchez Hernandez, and Rolando Menchaca Méndez. 2018. Local search algorithms for the vertex k-center problem. IEEE Latin Amer. Trans. 16, 6 (2018), 1765–1771.
[20]
Teofilo F. Gonzalez. 1985. Clustering to minimize the maximum intercluster distance. Theoret. Comput. Sci. 38 (1985), 293–306.
[21]
Dorit S. Hochbaum and David B. Shmoys. 1985. A best possible heuristic for the \(k\) -center problem. Math. Operat. Res. 10, 2 (1985), 180–184.
[22]
T. Ilhan, F. Ozsoy, and M. Pınar. 2002. An Efficient Exact Algorithm for the Vertex \(p\) -center Problem and Computational Experiments for Different Set Covering Subproblems. Technical Report. Bilkent University, Department of Industrial Engineering, Ankara, Turkey.
[23]
Samir Khuller and Yoram J. Sussmann. 2000. The capacitated \({K}\) -center problem. SIAM J. Discrete Math. 13, 3 (2000), 403–418.
[24]
Raphael Kramer, Manuel Iori, and Thibaut Vidal. 2020. Mathematical models and search algorithms for the capacitated \(p\) -center problem. INFORMS J. Comput. 32, 2 (2020), 444–460.
[25]
Jurij Mihelič and Borut Robič. 2003. Approximation algorithms for the k-center problem: An experimental evaluation. In Operations Research Proceedings 2002, Ulrike Leopold-Wildburger, Franz Rendl, and Gerhard Wäscher (Eds.). Springer Berlin Heidelberg, Berlin, 371–376.
[26]
Edward Minieka. 1970. The \(m\) -center problem. SIAM Rev. 12, 1 (1970), 138–139.
[27]
Nenad Mladenović, Martine Labbé, and Pierre Hansen. 2003. Solving the \(p\) -center problem with tabu search and variable neighborhood search. Networks 42, 1 (2003), 48–64.
[28]
F. Aykut Özsoy and Mustafa Ç. Pınar. 2006. An exact algorithm for the capacitated vertex \(p\) -center problem. Comput. Operat. Res. 33, 5 (2006), 1420–1436.
[29]
Ján Plesník. 1987. A heuristic for the \(p\) -center problems in graphs. Discrete Applied Mathematics 17, 3 (1987), 263–268.
[30]
D. R. Quevedo-Orozco and R. Z. Ríos-Mercado. 2013. A new heuristic for the capacitated vertex \(p\) -center problem. In Advances in Artificial Intelligence, C. Bielza, A. Salmerón, A. Alonso-Betanzos, J. I. Hidalgo, L. Martínez, A. Troncoso, E. Corchado, and J. M. Corchado (Eds.). Lecture Notes in Artificial Intelligence, Vol. 8109. Springer, Heidelberg, 279–288.
[31]
Dagoberto R. Quevedo-Orozco and Roger Z. Ríos-Mercado. 2015. Improving the quality of heuristic solutions for the capacitated vertex \(p\) -center problem through iterated greedy local search with variable neighborhood descent. Comput. Operat. Res. 62 (2015), 133–144.
[32]
Rattan Rana and Deepak Garg. 2008. The analytical study of \(k\) -center problem solving techniques. Int. J. Info. Technol. Knowl. Manage. 1, 2 (2008), 527–535.
[33]
Gerhard Reinelt. 1991. TSPLIB—A traveling salesman problem library. ORSA J. Comput. 3, 4 (1991), 376–384.
[34]
Mauricio G. C. Resende and Celso C. Ribeiro. 2016. Optimization by GRASP: Greedy Randomized Adaptive Search Procedures. Springer, New York.
[35]
Borut Robič and Jurij Mihelič. 2005. Solving the \(k\) -center problem efficiently with a dominating set algorithm. J. Comput. Info. Technol. 13, 3 (2005), 225–234.
[36]
Maria Paola Scaparra, Stefano Pallottino, and Maria Grazia Scutellà. 2004. Large-scale local search heuristics for the capacitated vertex \(p\) -center problem. Networks 43, 4 (2004), 241–255.
[37]
David B. Shmoys. 1995. Computing near-optimal solutions to combinatorial optimization problems. Combinat. Optimiz. 20 (1995), 355–397.

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Information & Contributors

Information

Published In

cover image ACM Journal of Experimental Algorithmics
ACM Journal of Experimental Algorithmics  Volume 28, Issue
December 2023
325 pages
ISSN:1084-6654
EISSN:1084-6654
DOI:10.1145/3587923
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 August 2023
Online AM: 22 June 2023
Accepted: 16 May 2023
Revised: 06 April 2023
Received: 03 February 2022
Published in JEA Volume 28

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Author Tags

  1. Combinatorial optimization
  2. heuristic search
  3. capacitated k-center
  4. parallel algorithm

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  • UANL through its Scientific and Technological Research Support Program
  • CONACYT

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