How to cite this paper
Mohammadi, M., khotbesara, Z & Mirzazadeh, A. (2014). MCLP and SQM models for the emergency vehicle districting and location problem.Decision Science Letters , 3(4), 479-490.
Refrences
Ball, M.O., & Lin, F.L. (1993). A reliability model applied to emergency service vehicle location. Operations Research, 41(1), 18–36.
Burkey, M.L., Bhadury, J., & Eiselt, H.A. (2012). A location-based comparison of health care services in four U.S. States with efficiency and equity. Socio-Economic Planning Sciences, 46(2), 157-163.
Chen, P.H., & Shahandashti, S.M. (2009). Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints. Automation in Construction, 18(4), 434-443.
Church, R.L., & ReVelle, C. (1974). The maximal covering location problem. Papers of the Regional Science Association, 32(1), 101-118.
Daskin, M.S. (1983). A maximum expected covering location model. Formulation, properties and heuristic solution. Transportation Science, (17), 48–70.
Davari, S., Fazel Zarandi, M.H., & Hemmati, A. (2011). Maximal covering location problem (MCLP) with fuzzy travel times. Expert Systems with Applications, 38(12), 14535-14541.
Gendreau, M., Laporte, G., & Semet, F. (1997). Solving an ambulance location model by tabu search. Location Science, 5(2), 75–88.
Geroliminis,N., Karlaftis, M.G., & Skabardonis, A. (2009). A spatial queuing model for the emergency vehicle districting and location problem. Transportation Research Part B, 43(7), 798-811.
Ghoshal, S.P. (2004). Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system. Electric Power Systems Research, 70 (2), 115-127.
Hogan, K., & ReVelle, C. (1986). Concepts and applications of backup coverage. Management Science, 32(11), 1434–1444.
Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press.
Kirkpatrick, S., Gelatt, C.D., & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671–680.
Mohanta, D.K., Sadhu, P.K., & Chakrabarti, R. (2007). Deterministic and stochastic approach for safety and reliability optimization of captive power plant maintenance scheduling using GA/SA-based hybrid techniques: A comparison of results. Reliability Engineering & System Safety, 92(2), 187-199.
Oyso, C., & Bingul, Z. (2009). Application of heuristic and hybrid-GASA algorithms to tool-path optimization problem for minimizing airtime during machining. Engineering Applications of Artificial Intelligence, 22(3), 389-396.
Pirkul, H., & Schilling, D.A. (1988). The siting of emergency service facilities with workload facilities and backup service. Management Science, 34(7), 896-908.
Repede, J.F., & Bernardo, J.J. (1994). Developing and validating a decision support system for location emergency medical vehicles in Louisville, Kentucky. European Journal of Operational Research, 75(3), 567–581.
ReVelle, C., & Hogan, K. (1989). The maximum availability location problem. Transportation Science, 23(3), 192–200.
ReVelle, C. (1989) Review, extension and prediction in emergency services siting models. European Journal of Operational Research, 40(1),58–69.
Roach, A., & Nagi, R. (1996). A hybrid GA-SA algorithm for just-in-time scheduling of multi-level assemblies. Computers & Industrial Engineering, 30(4), 1047-1060.
Shariff, S.S.R., Moin, N.H., & Omar, M. (2012). Location allocation modeling for healthcare facility planning in Malaysia. Computers & Industrial Engineering, 62(4), 1000-1010.
Schmid, V., & Doerner, K.F. (2010). Ambulance location and relocation problems with time-dependent travel times. European Journal of Operational Research, 207(3), 1293-1303.
Sonmez, R., & Bettemir, O.H. (2012). A hybrid genetic algorithm for the discrete time–cost trade-off problem. Expert Systems with Applications, 39(13), 11428-11434.
Syam, S.S., & Côtéb, M.J. (2010). A location–allocation model for service providers with application to not-for-profit healthcare organizations. Omega, 38(3-4),157-166.
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations Research, 19(6), 1363-1373.
Weber, A. (1909). Alfred Weber’s Theory of the Locaion of Industries: University of Chicago.
Zameer, A., Mirza, S.M., & Mirza, N.M. (2014). Core loading pattern optimization of a typical two-loop 300 MWe PWR using Simulated Annealing (SA), novel crossover Genetic Algorithms (GA) and hybrid GA(SA) schemes. Annals of Nuclear Energy, 65, 122-131.
Zhang,J., Dong, M., & Chen, F. F. (2012). A bottleneck Steiner tree based multi-objective location model and intelligent optimization of emergency logistics systems. Robotics and Computer-Integrated Manufacturing, 29(3), 48-55.
Burkey, M.L., Bhadury, J., & Eiselt, H.A. (2012). A location-based comparison of health care services in four U.S. States with efficiency and equity. Socio-Economic Planning Sciences, 46(2), 157-163.
Chen, P.H., & Shahandashti, S.M. (2009). Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints. Automation in Construction, 18(4), 434-443.
Church, R.L., & ReVelle, C. (1974). The maximal covering location problem. Papers of the Regional Science Association, 32(1), 101-118.
Daskin, M.S. (1983). A maximum expected covering location model. Formulation, properties and heuristic solution. Transportation Science, (17), 48–70.
Davari, S., Fazel Zarandi, M.H., & Hemmati, A. (2011). Maximal covering location problem (MCLP) with fuzzy travel times. Expert Systems with Applications, 38(12), 14535-14541.
Gendreau, M., Laporte, G., & Semet, F. (1997). Solving an ambulance location model by tabu search. Location Science, 5(2), 75–88.
Geroliminis,N., Karlaftis, M.G., & Skabardonis, A. (2009). A spatial queuing model for the emergency vehicle districting and location problem. Transportation Research Part B, 43(7), 798-811.
Ghoshal, S.P. (2004). Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system. Electric Power Systems Research, 70 (2), 115-127.
Hogan, K., & ReVelle, C. (1986). Concepts and applications of backup coverage. Management Science, 32(11), 1434–1444.
Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press.
Kirkpatrick, S., Gelatt, C.D., & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671–680.
Mohanta, D.K., Sadhu, P.K., & Chakrabarti, R. (2007). Deterministic and stochastic approach for safety and reliability optimization of captive power plant maintenance scheduling using GA/SA-based hybrid techniques: A comparison of results. Reliability Engineering & System Safety, 92(2), 187-199.
Oyso, C., & Bingul, Z. (2009). Application of heuristic and hybrid-GASA algorithms to tool-path optimization problem for minimizing airtime during machining. Engineering Applications of Artificial Intelligence, 22(3), 389-396.
Pirkul, H., & Schilling, D.A. (1988). The siting of emergency service facilities with workload facilities and backup service. Management Science, 34(7), 896-908.
Repede, J.F., & Bernardo, J.J. (1994). Developing and validating a decision support system for location emergency medical vehicles in Louisville, Kentucky. European Journal of Operational Research, 75(3), 567–581.
ReVelle, C., & Hogan, K. (1989). The maximum availability location problem. Transportation Science, 23(3), 192–200.
ReVelle, C. (1989) Review, extension and prediction in emergency services siting models. European Journal of Operational Research, 40(1),58–69.
Roach, A., & Nagi, R. (1996). A hybrid GA-SA algorithm for just-in-time scheduling of multi-level assemblies. Computers & Industrial Engineering, 30(4), 1047-1060.
Shariff, S.S.R., Moin, N.H., & Omar, M. (2012). Location allocation modeling for healthcare facility planning in Malaysia. Computers & Industrial Engineering, 62(4), 1000-1010.
Schmid, V., & Doerner, K.F. (2010). Ambulance location and relocation problems with time-dependent travel times. European Journal of Operational Research, 207(3), 1293-1303.
Sonmez, R., & Bettemir, O.H. (2012). A hybrid genetic algorithm for the discrete time–cost trade-off problem. Expert Systems with Applications, 39(13), 11428-11434.
Syam, S.S., & Côtéb, M.J. (2010). A location–allocation model for service providers with application to not-for-profit healthcare organizations. Omega, 38(3-4),157-166.
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations Research, 19(6), 1363-1373.
Weber, A. (1909). Alfred Weber’s Theory of the Locaion of Industries: University of Chicago.
Zameer, A., Mirza, S.M., & Mirza, N.M. (2014). Core loading pattern optimization of a typical two-loop 300 MWe PWR using Simulated Annealing (SA), novel crossover Genetic Algorithms (GA) and hybrid GA(SA) schemes. Annals of Nuclear Energy, 65, 122-131.
Zhang,J., Dong, M., & Chen, F. F. (2012). A bottleneck Steiner tree based multi-objective location model and intelligent optimization of emergency logistics systems. Robotics and Computer-Integrated Manufacturing, 29(3), 48-55.