A tri-level covering fortification model for facility protection against disturbance in r-interdiction median problem
作者： Mehdi Mahmoodjanloo , Seyed Parsa Parvasi , Reza Ramezanian
DOI: 10.1016/J.CIE.2016.11.004
关键词:
摘要: Proposing a tri-level model defense facilities location to provide full coverage.Suggesting providing extra protection for service facilities.Developing concept of possible successful according the distance them.Presenting EX-EX-EX, GA-EX-EX and BBO-EX-EX based on exact meta-heuristics. The available literature facility interdiction problems is separately modeled by two r-interdiction covering median approaches. In this paper, coverage in problem addressed which considers both modeling approaches, simultaneously. purpose design proper system way that after worst case scenario disturbance, it can utilize its capacity services. regard, we have considered optimally locate these facilities. proposed leader-follower games as defender-attacker-defender framework. order solve model, three approaches been used. first approach (EX-EX-EX), explicit enumeration method used second levels an third level. hybrid methods consisting genetic algorithm, (GA-EX-EX) biogeography-based (BBO-EX-EX) tackle reasonable time. Finally, are 27 random instance problems. Comparing meta-heuristics studying numerical examples solved using quite satisfactory.
acm.org
elsevier.com
sci-hub.se 参考文章(67)
Pablo Garcia-Herreros, Ignacio E. Grossmann, John Wassick, Design of Supply Chains under the Risk of Facility Disruptions Computer-aided chemical engineering. ,vol. 32, pp. 577- 582 ,(2013) , 10.1016/B978-0-444-63234-0.50097-X
Nasrin Aliakbarian, Farzad Dehghanian, Majid Salari, A bi-level programming model for protection of hierarchical facilities under imminent attacks Computers & Operations Research. ,vol. 64, pp. 210- 224 ,(2015) , 10.1016/J.COR.2015.05.016
Hong Li, Yongchang Jiao, Li Zhang, Orthogonal genetic algorithm for solving quadratic bilevel programming problems Journal of Systems Engineering and Electronics. ,vol. 21, pp. 763- 770 ,(2010) , 10.3969/J.ISSN.1004-4132.2010.05.008
Li Hecheng, Wang Yuping, Exponential distribution-based genetic algorithm for solving mixed-integer bilevel programming problems Journal of Systems Engineering and Electronics. ,vol. 19, pp. 1157- 1164 ,(2008) , 10.1016/S1004-4132(08)60213-3
John H. Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence Ann Arbor: University of Michigan Press. ,(1992) , 10.7551/MITPRESS/1090.001.0001
Lawrence V. Snyder, Zumbul Atan, Peng Peng, Ying Rong, Amanda J. Schmitt, Burcu Sinsoysal, OR/MS Models for Supply Chain Disruptions: A Review Social Science Research Network. ,(2014) , 10.2139/SSRN.1689882
Maede Mokhtarinejad, Abbas Ahmadi, Behrooz Karimi, Seyed Habib A. Rahmati, A novel learning based approach for a new integrated location-routing and scheduling problem within cross-docking considering direct shipment soft computing. ,vol. 34, pp. 274- 285 ,(2015) , 10.1016/J.ASOC.2015.04.062
Mitsuo Gen, Runwei Cheng, Genetic algorithms and engineering optimization John Wiley & Sons, Inc.. ,(1999) , 10.1002/9780470172261
F. Parvaresh, S.M. Moattar Husseini, S.A. Hashemi Golpayegany, B. Karimi, Hub network design problem in the presence of disruptions Journal of Intelligent Manufacturing. ,vol. 25, pp. 755- 774 ,(2014) , 10.1007/S10845-012-0717-7
Shine-Der Lee, On solving unreliable planar location problems Computers & Operations Research. ,vol. 28, pp. 329- 344 ,(2001) , 10.1016/S0305-0548(99)00120-3