International Journal of Soft Computing

Year: 2017
Volume: 12
Issue: 2
Page No. 103 - 111

Biogeography Based Optimization with Guided Bed Selection Mechanism for Patient Admission Scheduling Problems

Authors : Abdel Aziz I. Hammouri, Mohammed Alweshah, Essa Abdullah Hezzam and Mohammed Asmaran

References

Alrifai, B., H. Al-Hiary and A.I. Hammouri, 2014. An adaptive color night vision scheme tuned enhanced particle swarm optimization. Intl. J. Comput. Appl., 87: 9-14.
Direct Link  |  

Ayvaz, N. and W.T. Huh, 2010. Allocation of hospital capacity to multiple types of patients. J. Rev. Pricing Manage., 9: 386-398.
CrossRef  |  Direct Link  |  

Bhattacharya, A. and P.K. Chattopadhyay, 2011. Hybrid differential evolution with biogeography-based optimization algorithm for solution of economic emission load dispatch problems. Expert Syst. Appl., 38: 14001-14010.
Direct Link  |  

Bilgin, B., P. Demeester, M. Misir, W. Vancroonenburg and G.V. Berghe, 2012. One hyper-heuristic approach to two timetabling problems in health care. J. Heuristics, 18: 401-434.
CrossRef  |  Direct Link  |  

Ceschia, S. and A. Schaerf, 2009. Multi-Neighborhood Local Search for the Patient Admission Problem. In: Proceedings of the International Workshop on Hybrid Metaheuristics, Blesa, M.J., C. Blum, L.D. Gaspero, A. Roli and M. Sampels et al.(Eds.). Springer, Berlin, Germany, ISBN:978-3-642-04917-0, pp: 156-170.

Ceschia, S. and A. Schaerf, 2011. Local search and lower bounds for the patient admission scheduling problem. Comput. Oper. Res., 38: 1452-1463.
Direct Link  |  

Chatterjee, A., P. Siarry, A. Nakib and R. Blanc, 2012. An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy. Eng. Appl. Artif. Intell., 25: 1698-1709.
CrossRef  |  

Demeester, P., W. Souffriau, P.D. Causmaecker and G.V. Berghe, 2010. A hybrid tabu search algorithm for automatically assigning patients to beds. Artif. Intell. Med., 48: 61-70.
Direct Link  |  

Gemmel, P. and R.V. Dierdonck, 1999. Admission scheduling in acute care hospitals: Does the practice fit with the theory?. Intl. J. Oper. Prod. Manage., 19: 863-878.
Direct Link  |  

Hammouri, A.I. and B. Alrifai, 2014. Investigating biogeography-based optimisation for patient admission scheduling problems. J. Theor. Appl. Inf. Technol., 70: 413-421.
Direct Link  |  

Hammouri, A.I. and S. Abdullah, 2014. Biogeography based optimisation for data clustering. Proceedings of the 13th International Conference on New Trends in Software Methodologies, Tools and Techniques, September 22-24, 2014, IOS Press, Langkawi, Malaysia, ISBN:9781614994336,-pp: 951.

Hammouri, A.I., B. Alrifai and H. Al-Hiary, 2013. An intelligent watermarking approach based particle swarm optimization in discrete wavelet domain. IJCSI. Intl. J. Comput. Sci. Issues, 10: 1694-2814.
Direct Link  |  

Jamuna, K. and K.S. Swarup, 2011. Biogeography based optimization for optimal meter placement for security constrained state estimation. Swarm Evol. Comput., 1: 89-96.

Kattan, A. and R. Abdullah, 2011. A parallel & distributed implementation of the harmony search based supervised training of artificial neural networks. Proceedings of the 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS), January 25-27, 2011, IEEE, New York, USA., ISBN:978-1-4244-9809-3, pp: 277-283.

Kawam, A.A. and N. Mansour, 2012. Metaheuristic optimization algorithms for training artificial neural networks. Int. J. Comput. Inform. Technol., 1: 156-161.
Direct Link  |  

Panchal, V., H. Kundra and A. Kaur, 2010. An integrated approach to biogeography based optimization with case based reasoning for retrieving groundwater possibility. Intl. J. Comput. Appl., 1: 975-8887.

Panchal, V.K., S. Goel and M. Bhatnagar, 2009. Biogeography based land cover feature extraction. Proceedings of the World Congress on Nature and Biologically Inspired Computing, December 9-11, 2009, Coimbatore, India, pp: 1588-1591.

Pinedo, M., 1995. Scheduling, Theory, Algorithms and Systems. 1st Edn. Prentice-Hall, Englewood Cliffs, NJ.

Rahmati, S.H.A. and M. Zandieh, 2012. A new Biogeography-Based Optimization (BBO) algorithm for the flexible job shop scheduling problem. Intl. J. Adv. Manuf. Technol., 58: 1115-1129.
CrossRef  |  Direct Link  |  

Rarick, R., D. Simon, F.E. Villaseca and B. Vyakaranam, 2009. Biogeography-based optimization and the solution of the power flow problem. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, October 11-14, 2009, IEEE, New York, USA., ISBN:978-1-4244-2793-2, pp: 1003-1008.

Roy, P.K., S.P. Ghoshal and S.S. Thakur, 2009. Biogeography-based optimization for economic load dispatch problems. Electr. Power Compon. Syst., 38: 166-181.
Direct Link  |  

Simon, D., 2008. Biogeography-based optimization. IEEE Trans. Evol. Comput., 12: 702-713.
CrossRef  |  Direct Link  |  

Slowik, A. and M. Bialko, 2008. Training of artificial neural networks using differential evolution algorithm. Proceedings of the Conference on Human System Interactions, May 25-27, 2008, IEEE, New York, USA., ISBN:978-1-4244-1542-7, pp: 60-65.

Socha, K. and C. Blum, 2007. An ant colony optimization algorithm for continuous optimization: Application to feed-forward neural network training. Neural Comput. Appl., 16: 235-247.
CrossRef  |  Direct Link  |  

Vissers, J.M., I.J. Adan and N.P. Dellaert, 2007. Developing a platform for comparison of hospital admission systems: An illustration. Eur. J. Oper. Res., 180: 1290-1301.
Direct Link  |  

Wang, L. and Y. Xu, 2011. An effective hybrid biogeography-based optimization algorithm for parameter estimation of chaotic systems. Expert Syst. Appl., 38: 15103-15109.

Wang, X.J., L. Gao and C.Y. Zhang, 2008. Electromagnetism Like Mechanism Based Algorithm for Neural Network Training. In: Advanced Intelligent Computing Theories and Applications with Aspects of Artificial Intelligence, Shuang, H.D., C.W. Donald II, S.L. Daniel and J.K. Hyun (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-85983-3, pp: 40-45.

Wren, A., 1996. Scheduling, timetabling and rostering-A special relationship?. Proceedings of the 1st International Conference on Practice and Theory of Automated Timetabling, August 29-September 1, 1995, Edinburgh, UK., pp: 46-76.

Yin, M. and X. Li, 2011. A hybrid bio-geography based optimization for permutation flow shop scheduling. Sci. Res. Essays, 6: 2078-2100.
CrossRef  |  Direct Link  |  

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