How to cite this paper
Choy, M & Cheong, M. (2012). A greedy double swap heuristic for nurse scheduling.Management Science Letters , 2(6), 2001-2010.
Refrences
Aickelin, U., & Dowsland, K. (2004). An indirect genetic algorithm for a nurse-scheduling problem. Comput. Oper. Res., 31 (5), 761–778.
Azaiez, Al-Sharif, (2005). A 0-1 goal programming model for nurse scheduling. Computers & Operations Research, 32(3), 491-507.
Brusco, M., & Jacobs, L. (1993). A simulated annealing approach to the solution of ?exible labour scheduling problems. The Journal of the Operational Research Society, 44 (12), 1191–1200.
Burke, E., Causmaecker, P., Berghe, G., & Landeghem, H. (2004). The state of the art of nurse rostering. Journal of Scheduling, 7, 441–499.
Chen, J.-G., & Yeung, T. (1993). Hybrid expert-system approach to nurse scheduling. Computers in Nursing, 11, 183–192.
Coello-Coello, C. (2002). Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Computer Methods in Applied Mechanics and Engineering, 191(11-12), 1245-1287.
Dowsland, K. (1998). Nurse scheduling with tabu search and strategic oscillation. European Journal of Operational Research, 106 (2-3), 393–407.
Dowsland, K., & Thompson, J. (2000, Jul). Solving a nurse scheduling problem with knapsacks, networks and tabu search. The Journal of the Operational Research Society, 51 (7), 825–833.
Li, J., & Aickelin, U. (2003). A bayesian optimization algorithm for the nurse scheduling problem. in Proceedings of 2003 Congress on Evolutionary Computation, 2149-2156.
Okada, M., & Okada, M. (1988). Prolog-based system for nursing staff scheduling implemented on a personal computer. Computers and Biomedical Research, 21 (1), 53–63.
Osogami, T., & Imai, H. (2000). Classi?cation of various neighborhood operations for the nurse scheduling problem. In ISAAC ’00: Proceedings of the 11th International Conference on Algorithms and Computation (pp. 72–83). London, UK: Springer-Verlag.
Pelikan, M., Goldberg, D. E., & Cant´u-Paz, E. (1999). BOA: The Bayesian optimization algorithm (Technical Report IlliGAL 99003). Urbana, IL: Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign.
Tien, J., & Kamiyama, A. (1982). On manpower scheduling algorithms. SIAM Review, 24 (3), 275–287.
Ying-Shiuan You, Tian-Li Yu, & Ta-Chun Lien. (2010). Psychological Preference-based Optimization Framework: An Evolutionary Computation Approach for Constrained Problems Involving Human Preference. Master Thesis, TEIL Working paper.
Azaiez, Al-Sharif, (2005). A 0-1 goal programming model for nurse scheduling. Computers & Operations Research, 32(3), 491-507.
Brusco, M., & Jacobs, L. (1993). A simulated annealing approach to the solution of ?exible labour scheduling problems. The Journal of the Operational Research Society, 44 (12), 1191–1200.
Burke, E., Causmaecker, P., Berghe, G., & Landeghem, H. (2004). The state of the art of nurse rostering. Journal of Scheduling, 7, 441–499.
Chen, J.-G., & Yeung, T. (1993). Hybrid expert-system approach to nurse scheduling. Computers in Nursing, 11, 183–192.
Coello-Coello, C. (2002). Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Computer Methods in Applied Mechanics and Engineering, 191(11-12), 1245-1287.
Dowsland, K. (1998). Nurse scheduling with tabu search and strategic oscillation. European Journal of Operational Research, 106 (2-3), 393–407.
Dowsland, K., & Thompson, J. (2000, Jul). Solving a nurse scheduling problem with knapsacks, networks and tabu search. The Journal of the Operational Research Society, 51 (7), 825–833.
Li, J., & Aickelin, U. (2003). A bayesian optimization algorithm for the nurse scheduling problem. in Proceedings of 2003 Congress on Evolutionary Computation, 2149-2156.
Okada, M., & Okada, M. (1988). Prolog-based system for nursing staff scheduling implemented on a personal computer. Computers and Biomedical Research, 21 (1), 53–63.
Osogami, T., & Imai, H. (2000). Classi?cation of various neighborhood operations for the nurse scheduling problem. In ISAAC ’00: Proceedings of the 11th International Conference on Algorithms and Computation (pp. 72–83). London, UK: Springer-Verlag.
Pelikan, M., Goldberg, D. E., & Cant´u-Paz, E. (1999). BOA: The Bayesian optimization algorithm (Technical Report IlliGAL 99003). Urbana, IL: Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign.
Tien, J., & Kamiyama, A. (1982). On manpower scheduling algorithms. SIAM Review, 24 (3), 275–287.
Ying-Shiuan You, Tian-Li Yu, & Ta-Chun Lien. (2010). Psychological Preference-based Optimization Framework: An Evolutionary Computation Approach for Constrained Problems Involving Human Preference. Master Thesis, TEIL Working paper.