Solving a big-scaled hospital facility layout problem with meta-heuristics algorithms

Drira, 2007, Facility layout problems: a survey, Ann. Rev. Control, 31, 255, 10.1016/j.arcontrol.2007.04.001 Mecklenburg, 1985 Kusiak, 1987, The facility layout problem, Eur. J. Oper. Res., 29, 229, 10.1016/0377-2217(87)90238-4 Meller, 1996, The facility layout problem: recent and emerging trends and perspectives, J. Manuf. Syst., 15, 351, 10.1016/0278-6125(96)84198-7 Tompkins, 2003 Sarma, 2009, Demand for outpatient healthcare, Appl. Health Econ. Health Policy, 7, 265, 10.1007/BF03256160 Amaral, 2009, A new lower bound for the single row facility layout problem, Discrete Appl. Math., 157, 183, 10.1016/j.dam.2008.06.002 Mohammadi, 2014, A novel approach for considering layout problem in cellular manufacturing systems with alternative processing routings and subcontracting approach, Appl. Math. Model., 38, 3624, 10.1016/j.apm.2013.11.058 Barbosa-Povoa, 2001, Optimal two-dimensional layout of industrial facilities, Int. J. Prod. Res., 39, 2567, 10.1080/00207540110049043 Singh, 2006, A review of different approaches to the facility layout problems, Int. J. Adv. Manuf. Technol., 30, 425, 10.1007/s00170-005-0087-9 Montreuil, 1990, A modeling framework for integrating layout design and flow network design, 43 Lacksonen, 1997, Pre-processing for static and dynamic facility layout problems, Int. J. Prod. Res., 35, 1095, 10.1080/002075497195560 Azadivar, 2000, Facility layout optimization using simulation and genetic algorithms, Int. J. Prod. Res., 38, 4369, 10.1080/00207540050205154 Lee, 2002, A shape-based block layout approach to facility layout problems using hybrid genetic algorithm, Comput. Ind. Eng., 42, 237, 10.1016/S0360-8352(02)00018-9 Shayan, 2002, Genetic algorithm for facilities layout problems based on slicing tree structure, Int. J. Prod. Res., 42, 237 Sahin, 2010, A new hybrid heuristic algorithm for the multi objective facility layout problem, J. Faculty Eng. Archit. Gazi Univ., 25, 119 Cheng, 2012, A hybrid AI-based particle bee algorithm for facility layout optimization, Eng. Comput., 28, 57, 10.1007/s00366-011-0216-z Luo, 2013, 224 Ileri, 2013 Huyen, 2017, Analyzing trends in hospital-cost payments of patients using ARIMA and GIS: case study at the hanoi medical university hospital, Vietnam, J. Med. Imaging Health Inf., 7, 421, 10.1166/jmihi.2017.2111 Aydin, 2004, A distributed evolutionary simulated annealing algorithm for combinatorial optimisation problems, J. Heuristics, 10, 269, 10.1023/B:HEUR.0000026896.44360.f9 Kaveh, 2011, Charged system search algorithm for minimax and minisum facility layout problems, Asian J. Civ. Eng., 6, 703 Kaveh, 2012, An adapted harmony search based algorithm for facility layout optimization, Int. J. Civ. Eng., 1, 37 Chan, 2006, Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems, Soft. Comput., 10, 1075, 10.1007/s00500-005-0044-4 Yang, 2007, UMTS base station location planning: a mathematical model and heuristic optimisation algorithms, IET Commun., 1, 1007, 10.1049/iet-com:20060495 Duman, 2012, Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem, Inf. Sci., 217, 65, 10.1016/j.ins.2012.06.032 Tongur, 2014, Migrating birds optimization for flow shop sequencing problem, J. Comput. Commun., 2, 142, 10.4236/jcc.2014.24019 Sioud, 2018, Enhanced migrating birds optimization algorithm for the permutation flow shop problem with sequence dependent setup times, Eur. J. Oper. Res., 264, 66, 10.1016/j.ejor.2017.06.027 Zhang, 2017, An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming, Appl. Soft Comput., 52, 14, 10.1016/j.asoc.2016.12.021 Meng, 2018, An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem, Swarm Evol. Comput., 38, 64, 10.1016/j.swevo.2017.06.003 Pan, 2014, An improved migrating birds optimisation for a hybrid flowshop scheduling with total flowtime minimisation, Inf. Sci., 277, 643, 10.1016/j.ins.2014.02.152 Gao, 2013, 9 Duman, 2013, Solving credit card fraud detection problem by the new metaheuristics migrating birds optimization62–71 Ulker, 2017, Migrating birds optimization (MBO) algorithm to solve knapsack problem, Proc. Comput. Sci., 111, 71, 10.1016/j.procs.2017.06.012 Tongur, 2016, The analysis of migrating birds optimization algorithm with neighborhood operator on traveling salesman problem, 227 Tongur, 2019, PSO-based improved multi-flocks migrating birds optimization (IMFMBO) algorithm for solution of discrete problems, Soft. Comput., 23, 5469, 10.1007/s00500-018-3199-5 Hacibeyoglu, 2018, A Comparative Analysis of metaheuristic approaches for multidimensional two-way number partitioning problem, Arabian J. Sci. Eng., 43, 7499, 10.1007/s13369-018-3155-9 Li, 2019, Mathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problem, Neural Comput. Appl., 1 Glover, 1989, Tabu search part I., ORSA J. Comput., 1, 190, 10.1287/ijoc.1.3.190 Montané, 2006, A tabu search algorithm for the vehicle routing problem with simultaneous pick-up and delivery service, Comput. Oper. Res., 33, 595, 10.1016/j.cor.2004.07.009 Grabowski, 2004, A very fast tabu search algorithm for the permutation flow shop problem with makespan criterion, Comput. Oper. Res., 31, 1891, 10.1016/S0305-0548(03)00145-X Fiechter, 1994, A parallel tabu search algorithm for large traveling salesman problems, Discrete Appl. Math., 51, 243, 10.1016/0166-218X(92)00033-I Kirkpatrick, 1983, Optimization by simulated annealing, Am. Assoc. Adv. Sci., 220, 671 Metropolis, 1953, Equation of state calculations by fast computing machines, J. Chem. Phys., 21, 1087, 10.1063/1.1699114 Bagherlou, 2018, A routing protocol for vehicular ad hoc networks using simulated annealing algorithm and neural networks, J. Supercomput., 74, 2528, 10.1007/s11227-018-2283-z Wei, 2018, A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints, Eur. J. Oper. Res., 265, 843, 10.1016/j.ejor.2017.08.035 Karagul, 2019, A simulated annealing algorithm based solution method for a green vehicle routing problem with fuel consumption, 161 Mafarja, 2017, Hybrid whale optimization algorithm with simulated annealing for feature selection, Neurocomputing, 260, 302, 10.1016/j.neucom.2017.04.053 Zhan, 2016, List-based simulated annealing algorithm for traveling salesman problem, Comput. Intell. Neurosci., 2016, 8, 10.1155/2016/1712630 Kulturel-Konak, 2015, A large-scale hybrid simulated annealing algorithm for cyclic facility layout problems, Eng. Optim., 47, 963, 10.1080/0305215X.2014.933825 Shivasankaran, 2015, Hybrid sorting immune simulated annealing algorithm for flexible job shop scheduling, Int. J. Comput. Intell. Syst., 8, 455, 10.1080/18756891.2015.1017383 García, 2009, A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 special session on real parameter optimization, J. Heuristics, 15, 617, 10.1007/s10732-008-9080-4