Abstract
The bilevel p-median problem for the planning and protection of critical facilities involves a static Stackelberg game between a system planner (defender) and a potential attacker. The system planner determines firstly where to open p critical service facilities, and secondly which of them to protect with a limited protection budget. Following this twofold action, the attacker decides which facilities to interdict simultaneously, where the maximum number of interdictions is fixed. Partial protection or interdiction of a facility is not possible. Both the defender’s and the attacker’s actions have deterministic outcome; i.e., once protected, a facility becomes completely immune to interdiction, and an attack on an unprotected facility destroys it beyond repair. Moreover, the attacker has perfect information about the location and protection status of facilities; hence he would never attack a protected facility. We formulate a bilevel integer program (BIP) for this problem, in which the defender takes on the leader’s role and the attacker acts as the follower. We propose and compare three different methods to solve the BIP. The first method is an optimal exhaustive search algorithm with exponential time complexity. The second one is a two-phase tabu search heuristic developed to overcome the first method’s impracticality on large-sized problem instances. Finally, the third one is a sequential solution method in which the defender’s location and protection decisions are separated. The efficiency of these three methods is extensively tested on 75 randomly generated instances each with two budget levels. The results show that protection budget plays a significant role in maintaining the service accessibility of critical facilities in the worst-case interdiction scenario.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Aksen, D., Piyade, N., Aras, N.: The budget constrained r-interdiction median problem with capacity expansion. Cent. Eur. J. Oper. Res. 18(3), 269–291 (2010)
Aras, N., Aksen, D.: Locating collection centers for distance- and incentive-dependent returns. Int. J. Prod. Econ. 111(2), 316–333 (2008)
Aras, N., Aksen, D., Tanuğur, A.G.: Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles. Eur. J. Oper. Res. 191(3), 1223–1240 (2008)
Berman, O., Drezner, T., Drezner, Z., Wesolowsky, G.O.: A defensive maximal covering problem on a network. Int. Trans. Oper. Res. 16(1), 69–86 (2009)
Church, R.L., Cohon, J.L.: Multiobjective location analysis of regional energy facility sitting problems. Report prepared for the US Energy Research and Development Administration (BNL 50567) (1976)
Church, R.L., ReVelle, C.: The maximal covering location problem. Pap. Reg. Sci. Assoc., 32(1), 101–118 (1974)
Church, R.L., Scaparra, M.P.: Protecting critical assets: the r-interdiction median problem with fortification. Geogr. Anal. 39(2), 129–146 (2007)
Church, R.L., Scaparra, M.P., Middleton, R.S.: Identifying critical infrastructure: the median and covering facility interdiction problems. Ann. Assoc. Am. Geogr. 94(3), 491–502 (2004)
Glover, F., Laguna, M.: Tabu Search. Kluwer Academic, Dordrecht (1997)
Moore, J.T., Bard, J.F.: The mixed-integer linear bilevel programming problem. Oper. Res. 38(5), 911–921 (1990)
Murray, A.T., Grubesic, T.H. (eds.): Critical Infrastructure: Reliability and Vulnerability. Advances in Spatial Sciences. Springer, Berlin (2007)
O’Hanley, J., Church, R.L.: Designing robust coverage networks to hedge against worst-case facility losses. Eur. J. Oper. Res. (2010). doi:10.1016/j.ejor.2010.08.030
O’Hanley, J.R., Church, R.L., Gilless, K.: Locating and protecting critical reserve sites to minimize expected and worst-case losses. Biol. Conserv. 134(1), 130–141 (2007)
Rolland, E., Schilling, D., Current, J.R.: An efficient tabu search procedure for the p-median problem. Eur. J. Oper. Res. 96(2), 329–342 (1996)
Scaparra, M.P., Church, R.L.: An exact solution approach for the interdiction median problem with fortification. Eur. J. Oper. Res. 189(1), 76–92 (2008a)
Scaparra, M.P., Church, R.L.: A bilevel mixed integer program for critical infrastructure protection planning. Comput. Oper. Res. 35(6), 1905–1923 (2008b)
Smith, J.C.: Basic interdiction models. In: Cochran, J. (ed.) Wiley Encyclopedia of Operations Research and Management Science (EORMS), Wiley, New York (2010). URL: http://eu.wiley.com/WileyCDA/Section/id-380764.html (accessed May 2010)
Snyder, L.V., Scaparra, M.P., Daskin, M.S., Church, R.L.: Planning for disruptions in supply chain networks. In: Greenberg, H.K. (ed.) TutORials in Operations Research, pp. 234–257. INFORMS, Baltimore (2006)
Teixeira, J.C., Antunes, A.P.: A hierarchical location model for public facility planning. Eur. J. Oper. Res. 185(1), 92–104 (2008)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Aksen, D., Aras, N. & Piyade, N. A Bilevel p-median model for the planning and protection of critical facilities. J Heuristics 19, 373–398 (2013). https://doi.org/10.1007/s10732-011-9163-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10732-011-9163-5