How to cite this paper
Zolfi, K., Jouzdani, J & Shirouyehzad, H. (2023). A novel memory-based simulated annealing algorithm to solve multi-line facility layout problem.Decision Science Letters , 12(1), 69-88.
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Abdel-Basset, M., Manogaran, G., El-Shahat, D., & Mirjalili, S. (2018). Integrating the whale algorithm with tabu search for quadratic assignment problem: a new approach for locating hospital departments. Applied Soft Computing, 73, 530-546.
Ahmadi, A., & Jokar, M. R. A. (2016). An efficient multiple-stage mathematical programming method for advanced single and multi-floor facility layout problems. Applied Mathematical Modelling, 40(9-10), 5605-5620.
Aiello, G., La Scalia, G., & Enea, M. (2012). A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Systems with Applications, 39(12), 10352-10358.
Allahyari, M. Z., & Azab, A. (2018). Mathematical modeling and multi-start search simulated annealing for unequal-area facility layout problem. Expert Systems with Applications, 91, 46-62.
Amar, S. H., Abouabdellah, A., & El Ouazzani, Y. (2018). Interactive facility layout problem: a bi-objective design. International Journal on Interactive Design and Manufacturing (IJIDeM), 12(1), 151-159.
Anjos, M. F., Fischer, A., & Hungerländer, P. (2018). Improved exact approaches for row layout problems with departments of equal length. European Journal of Operational Research, 270(2), 514-529.
Armour, G. C., & Buffa, E. S. (1963). A heuristic algorithm and simulation approach to relative location of facilities. Management Science, 9(2), 294-309.
Asef-Vaziri, A., Jahandideh, H., & Modarres, M. (2017). Loop-based facility layout design under flexible bay structures. International Journal of Production Economics, 193, 713-725.
Asl, A. D., & Wong, K. Y. (2017). Solving unequal-area static and dynamic facility layout problems using modified particle swarm optimization. Journal of Intelligent Manufacturing, 28(6), 1317-1336.
Atta, S., & Mahapatra, P. R. S. (2019). Population-based improvement heuristic with local search for single-row facility layout problem. Sādhanā, 44(11), 1-19.
Balakrishnan, J., Cheng, C. H., Conway, D. G., & Lau, C. M. (2003). A hybrid genetic algorithm for the dynamic plant layout problem. International Journal of Production Economics, 86(2), 107-120.
Barzinpour, F., Mohammadpour Omran, M., Hoseini, S. F., Fahimi, K., & Samaei, F. (2019). A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem. Journal of Quality Engineering and Production Optimization, 1(1), 11-20.
Bashiri, M., & Dehghan, E. (2010). Optimizing a multiple criteria dynamic layout problem using a simultaneous data envelopment analysis modeling. Int J Comput Sci Eng, 2(1), 28-35.
Baykasoglu, A., Dereli, T., & Sabuncu, I. (2006). An ant colony algorithm for solving budget constrained and unconstrained dynamic facility layout problems. Omega, 34(4), 385-396.
Besbes, M., Zolghadri, M., Affonso, R. C., Masmoudi, F., & Haddar, M. (2019). A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search. Journal of Intelligent Manufacturing, 1-26.
Burkard, R. E., & Rendl, F. (1984). A thermodynamically motivated simulation procedure for combinatorial optimization problems. European Journal of Operational Research, 17(2), 169-174.
Chan, K., & Tansri, H. (1994). A study of genetic crossover operations on the facilities layout problem. Computers & Industrial Engineering, 26(3), 537-550.
Chen, C., & Tiong, L. K. (2019). Using queuing theory and simulated annealing to design the facility layout in an AGV-based modular manufacturing system. International Journal of Production Research, 57(17), 5538-5555.
Chen, G., & Rogers, J. (2009). Managing dynamic facility layout with multiple objectives. Paper presented at the PICMET'09-2009 Portland International Conference on Management of Engineering & Technology.
Cravo, G. L., & Amaral, A. R. (2019). A GRASP algorithm for solving large-scale single row facility layout problems. Computers & Operations Research, 106, 49-61.
de Sousa Junior, W. T., Montevechi, J. A. B., de Carvalho Miranda, R., de Oliveira, M. L. M., & Campos, A. T. (2020). Shop floor simulation optimization using machine learning to improve parallel metaheuristics. Expert Systems with Applications, 150, 113272.
Domschke, W., & Krispin, G. (1997). Location and layout planning. Operations-Research-Spektrum, 19(3), 181-194.
Drezner, Z. (1987). A heuristic procedure for the layout of a large number of facilities. Management Science, 33(7), 907-915.
El-Baz, M. A. (2004). A genetic algorithm for facility layout problems of different manufacturing environments. Computers & Industrial Engineering, 47(2-3), 233-246.
Feng, J., & Che, A. (2018). Novel integer linear programming models for the facility layout problem with fixed-size rectangular departments. Computers & Operations Research, 95, 163-171.
Francis, R. L., White, J. A., & McGinnis, L. F. (1974). Facility layout and location: an analytical approach (Vol. 31): Prentice-Hall Englewood Cliffs, NJ.
Gai, L., & Ji, J. (2019). An integrated method to solve the healthcare facility layout problem under area constraints. Journal of Combinatorial Optimization, 37(1), 95-113.
Glover, F. (1989). Tabu search—part I. ORSA Journal on computing, 1(3), 190-206.
González-Cruz, M. C., & Martínez, E. G.-S. (2011). An entropy-based algorithm to solve the facility layout design problem. Robotics and Computer-Integrated Manufacturing, 27(1), 88-100.
Grobelny, J., & Michalski, R. (2017). A novel version of simulated annealing based on linguistic patterns for solving facility layout problems. Knowledge-Based Systems, 124, 55-69.
Guan, C., Zhang, Z., Liu, S., & Gong, J. (2019). Multi-objective particle swarm optimization for multi-workshop facility layout problem. Journal of Manufacturing Systems, 53, 32-48.
Guan, J., & Lin, G. (2016). Hybridizing variable neighborhood search with ant colony optimization for solving the single row facility layout problem. European Journal of Operational Research, 248(3), 899-909.
Hammad, A., Akbarnezhad, A., & Rey, D. (2016). A multi-objective mixed integer nonlinear programming model for construction site layout planning to minimise noise pollution and transport costs. Automation in construction, 61, 73-85.
Hasani, A., & Soltani, R. (2015). A hybrid meta-heuristic for the dynamic layout problem with transportation system design. International Journal of Engineering, 28(8), 1175-1185.
Hasda, R. K. (2017). Contribution to the optimization of Unequal Area Rectangular Facility Layout Problem. Ecole centrale de Nantes.
Herrán, A., Colmenar, J. M., & Duarte, A. (2021). An efficient Variable Neighborhood Search for the Space-Free Multi-Row Facility Layout problem. European Journal of Operational Research.
Holland, J. (1975). An efficient genetic algorithm for the traveling salesman problem. European Journal of Operational Research, 145, 606-617.
Hu, B., & Yang, B. (2019). A particle swarm optimization algorithm for multi-row facility layout problem in semiconductor fabrication. Journal of Ambient Intelligence and Humanized Computing, 10(8), 3201-3210.
Kalita, Z., & Datta, D. (2018). A constrained single-row facility layout problem. The International Journal of Advanced Manufacturing Technology, 98(5-8), 2173-2184.
Kang, S., Kim, M., & Chae, J. (2018). A closed loop based facility layout design using a cuckoo search algorithm. Expert Systems with Applications, 93, 322-335.
Kazerooni, M., Luong, L., Abhary, K., Chan, F., & Pun, F. (1996). An integrated method for cell layout problem using genetic algorithms. Paper presented at the Proceedings of Twelfth International Conference on CAD/CAM Robotics and Factories of the Future, 14-16 August 1996, Middlesex University London.
Kheirkhah, A., & Bidgoli, M. M. (2016). Dynamic facility layout problem under competitive environment: a new formulation and some meta-heuristic solution methods. Production Engineering, 10(6), 615-632.
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. science, 220(4598), 671-680.
Kothari, R., & Ghosh, D. (2014). A scatter search algorithm for the single row facility layout problem. Journal of Heuristics, 20(2), 125-142.
Kulturel-Konak, S. (2017). A Matheuristic Approach for Solving the Dynamic Facility Layout Problem. Procedia Computer Science, 108, 1374-1383.
Kulturel-Konak, S. (2019). The zone-based dynamic facility layout problem. INFOR: Information Systems and Operational Research, 57(1), 1-31.
Kulturel-Konak, S., & Konak, A. (2011a). A new relaxed flexible bay structure representation and particle swarm optimization for the unequal area facility layout problem. Engineering Optimization, 43(12), 1263-1287.
Kulturel-Konak, S., & Konak, A. (2011b). Unequal area flexible bay facility layout using ant colony optimisation. International Journal of Production Research, 49(7), 1877-1902.
Kumar, K. R., Hadjinicola, G. C., & Lin, T.-l. (1995). A heuristic procedure for the single-row facility layout problem. European Journal of Operational Research, 87(1), 65-73.
Lakehal, S., Aitzai, A., & Ghedjati, F. (2021). Parallel hybrid BBO-TS algorithm for QAP-formulation of FLP. The International Journal of Advanced Manufacturing Technology, 117(11), 3189-3209.
Lee, Y. H., & Lee, M. H. (2002). A shape-based block layout approach to facility layout problems using hybrid genetic algorithm. Computers & Industrial Engineering, 42(2-4), 237-248.
Li, T., & Mashford, J. (1990). A parallel genetic algorithm for quadratic assignment.
Liu, J., Zhang, H., He, K., & Jiang, S. (2018). Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem. Expert Systems with Applications, 102, 179-192.
Liu, S., Zhang, Z., Guan, C., Liu, J., Gong, J., & Dewil, R. (2022). Mathematical formulation and two-phase optimisation methodology for the constrained double-row layout problem. Neural Computing and Applications, 1-20.
Liu, S., Zhang, Z., Guan, C., Zhu, L., Zhang, M., & Guo, P. (2021). An improved fireworks algorithm for the constrained single-row facility layout problem. International Journal of Production Research, 59(8), 2309-2327.
Mak, K., Wong, Y., & Chan, F. (1998). A genetic algorithm for facility layout problems. Computer Integrated Manufacturing Systems, 11(1-2), 113-127.
Mamaghani, A. S., & Meybodi, M. R. (2012). Solving the Quadratic Assignment Problem with the modified hybrid PSO algorithm. Paper presented at the 2012 6th International Conference on Application of Information and Communication Technologies (AICT).
Matai, R. (2015). Solving multi objective facility layout problem by modified simulated annealing. Applied Mathematics and Computation, 261, 302-311.
McKendall Jr, A. R., & Liu, W.-H. (2012). New Tabu search heuristics for the dynamic facility layout problem. International Journal of Production Research, 50(3), 867-878.
McKendall Jr, A. R., Shang, J., & Kuppusamy, S. (2006). Simulated annealing heuristics for the dynamic facility layout problem. Computers & Operations Research, 33(8), 2431-2444.
Meller, R. D., & Bozer, Y. A. (1996). A new simulated annealing algorithm for the facility layout problem. International Journal of Production Research, 34(6), 1675-1692.
Neghabi, H., Eshghi, K., & Salmani, M. H. (2014). A new model for robust facility layout problem. Information Sciences, 278, 498-509.
Neghabi, H., & Ghassemi Tari, F. (2015). An optimal approach for maximizing the number of adjacencies in multi floor layout problem. International Journal of Production Research, 53(11), 3462-3474.
Ou-Yang, C., Santosa, B., & Mustakim, A. (2013, 2013//). Artificial Particle Swarm Optimization with Heuristic Procedure to Solve Multi-Line Facility Layout Problem. Paper presented at the Proceedings of the Institute of Industrial Engineers Asian Conference 2013, Singapore.
Paes, F. G., Pessoa, A. A., & Vidal, T. (2017). A hybrid genetic algorithm with decomposition phases for the unequal area facility layout problem. European Journal of Operational Research, 256(3), 742-756.
Palubeckis, G. (2017). Single row facility layout using multi-start simulated annealing. Computers & Industrial Engineering, 103, 1-16.
Pan, X., Xue, L., Lu, Y., & Sun, N. (2019). Hybrid particle swarm optimization with simulated annealing. Multimedia Tools and Applications, 78(21), 29921-29936.
Rabbouch, B., Saâdaoui, F., & Mraihi, R. (2019). Empirical-type simulated annealing for solving the capacitated vehicle routing problem. Journal of Experimental & Theoretical Artificial Intelligence, 1-16.
Rezazadeh, H., Ghazanfari, M., Saidi-Mehrabad, M., & Sadjadi, S. J. (2009). An extended discrete particle swarm optimization algorithm for the dynamic facility layout problem. Journal of Zhejiang University-Science A, 10(4), 520-529.
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Ahmadi, A., & Jokar, M. R. A. (2016). An efficient multiple-stage mathematical programming method for advanced single and multi-floor facility layout problems. Applied Mathematical Modelling, 40(9-10), 5605-5620.
Aiello, G., La Scalia, G., & Enea, M. (2012). A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Systems with Applications, 39(12), 10352-10358.
Allahyari, M. Z., & Azab, A. (2018). Mathematical modeling and multi-start search simulated annealing for unequal-area facility layout problem. Expert Systems with Applications, 91, 46-62.
Amar, S. H., Abouabdellah, A., & El Ouazzani, Y. (2018). Interactive facility layout problem: a bi-objective design. International Journal on Interactive Design and Manufacturing (IJIDeM), 12(1), 151-159.
Anjos, M. F., Fischer, A., & Hungerländer, P. (2018). Improved exact approaches for row layout problems with departments of equal length. European Journal of Operational Research, 270(2), 514-529.
Armour, G. C., & Buffa, E. S. (1963). A heuristic algorithm and simulation approach to relative location of facilities. Management Science, 9(2), 294-309.
Asef-Vaziri, A., Jahandideh, H., & Modarres, M. (2017). Loop-based facility layout design under flexible bay structures. International Journal of Production Economics, 193, 713-725.
Asl, A. D., & Wong, K. Y. (2017). Solving unequal-area static and dynamic facility layout problems using modified particle swarm optimization. Journal of Intelligent Manufacturing, 28(6), 1317-1336.
Atta, S., & Mahapatra, P. R. S. (2019). Population-based improvement heuristic with local search for single-row facility layout problem. Sādhanā, 44(11), 1-19.
Balakrishnan, J., Cheng, C. H., Conway, D. G., & Lau, C. M. (2003). A hybrid genetic algorithm for the dynamic plant layout problem. International Journal of Production Economics, 86(2), 107-120.
Barzinpour, F., Mohammadpour Omran, M., Hoseini, S. F., Fahimi, K., & Samaei, F. (2019). A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem. Journal of Quality Engineering and Production Optimization, 1(1), 11-20.
Bashiri, M., & Dehghan, E. (2010). Optimizing a multiple criteria dynamic layout problem using a simultaneous data envelopment analysis modeling. Int J Comput Sci Eng, 2(1), 28-35.
Baykasoglu, A., Dereli, T., & Sabuncu, I. (2006). An ant colony algorithm for solving budget constrained and unconstrained dynamic facility layout problems. Omega, 34(4), 385-396.
Besbes, M., Zolghadri, M., Affonso, R. C., Masmoudi, F., & Haddar, M. (2019). A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search. Journal of Intelligent Manufacturing, 1-26.
Burkard, R. E., & Rendl, F. (1984). A thermodynamically motivated simulation procedure for combinatorial optimization problems. European Journal of Operational Research, 17(2), 169-174.
Chan, K., & Tansri, H. (1994). A study of genetic crossover operations on the facilities layout problem. Computers & Industrial Engineering, 26(3), 537-550.
Chen, C., & Tiong, L. K. (2019). Using queuing theory and simulated annealing to design the facility layout in an AGV-based modular manufacturing system. International Journal of Production Research, 57(17), 5538-5555.
Chen, G., & Rogers, J. (2009). Managing dynamic facility layout with multiple objectives. Paper presented at the PICMET'09-2009 Portland International Conference on Management of Engineering & Technology.
Cravo, G. L., & Amaral, A. R. (2019). A GRASP algorithm for solving large-scale single row facility layout problems. Computers & Operations Research, 106, 49-61.
de Sousa Junior, W. T., Montevechi, J. A. B., de Carvalho Miranda, R., de Oliveira, M. L. M., & Campos, A. T. (2020). Shop floor simulation optimization using machine learning to improve parallel metaheuristics. Expert Systems with Applications, 150, 113272.
Domschke, W., & Krispin, G. (1997). Location and layout planning. Operations-Research-Spektrum, 19(3), 181-194.
Drezner, Z. (1987). A heuristic procedure for the layout of a large number of facilities. Management Science, 33(7), 907-915.
El-Baz, M. A. (2004). A genetic algorithm for facility layout problems of different manufacturing environments. Computers & Industrial Engineering, 47(2-3), 233-246.
Feng, J., & Che, A. (2018). Novel integer linear programming models for the facility layout problem with fixed-size rectangular departments. Computers & Operations Research, 95, 163-171.
Francis, R. L., White, J. A., & McGinnis, L. F. (1974). Facility layout and location: an analytical approach (Vol. 31): Prentice-Hall Englewood Cliffs, NJ.
Gai, L., & Ji, J. (2019). An integrated method to solve the healthcare facility layout problem under area constraints. Journal of Combinatorial Optimization, 37(1), 95-113.
Glover, F. (1989). Tabu search—part I. ORSA Journal on computing, 1(3), 190-206.
González-Cruz, M. C., & Martínez, E. G.-S. (2011). An entropy-based algorithm to solve the facility layout design problem. Robotics and Computer-Integrated Manufacturing, 27(1), 88-100.
Grobelny, J., & Michalski, R. (2017). A novel version of simulated annealing based on linguistic patterns for solving facility layout problems. Knowledge-Based Systems, 124, 55-69.
Guan, C., Zhang, Z., Liu, S., & Gong, J. (2019). Multi-objective particle swarm optimization for multi-workshop facility layout problem. Journal of Manufacturing Systems, 53, 32-48.
Guan, J., & Lin, G. (2016). Hybridizing variable neighborhood search with ant colony optimization for solving the single row facility layout problem. European Journal of Operational Research, 248(3), 899-909.
Hammad, A., Akbarnezhad, A., & Rey, D. (2016). A multi-objective mixed integer nonlinear programming model for construction site layout planning to minimise noise pollution and transport costs. Automation in construction, 61, 73-85.
Hasani, A., & Soltani, R. (2015). A hybrid meta-heuristic for the dynamic layout problem with transportation system design. International Journal of Engineering, 28(8), 1175-1185.
Hasda, R. K. (2017). Contribution to the optimization of Unequal Area Rectangular Facility Layout Problem. Ecole centrale de Nantes.
Herrán, A., Colmenar, J. M., & Duarte, A. (2021). An efficient Variable Neighborhood Search for the Space-Free Multi-Row Facility Layout problem. European Journal of Operational Research.
Holland, J. (1975). An efficient genetic algorithm for the traveling salesman problem. European Journal of Operational Research, 145, 606-617.
Hu, B., & Yang, B. (2019). A particle swarm optimization algorithm for multi-row facility layout problem in semiconductor fabrication. Journal of Ambient Intelligence and Humanized Computing, 10(8), 3201-3210.
Kalita, Z., & Datta, D. (2018). A constrained single-row facility layout problem. The International Journal of Advanced Manufacturing Technology, 98(5-8), 2173-2184.
Kang, S., Kim, M., & Chae, J. (2018). A closed loop based facility layout design using a cuckoo search algorithm. Expert Systems with Applications, 93, 322-335.
Kazerooni, M., Luong, L., Abhary, K., Chan, F., & Pun, F. (1996). An integrated method for cell layout problem using genetic algorithms. Paper presented at the Proceedings of Twelfth International Conference on CAD/CAM Robotics and Factories of the Future, 14-16 August 1996, Middlesex University London.
Kheirkhah, A., & Bidgoli, M. M. (2016). Dynamic facility layout problem under competitive environment: a new formulation and some meta-heuristic solution methods. Production Engineering, 10(6), 615-632.
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. science, 220(4598), 671-680.
Kothari, R., & Ghosh, D. (2014). A scatter search algorithm for the single row facility layout problem. Journal of Heuristics, 20(2), 125-142.
Kulturel-Konak, S. (2017). A Matheuristic Approach for Solving the Dynamic Facility Layout Problem. Procedia Computer Science, 108, 1374-1383.
Kulturel-Konak, S. (2019). The zone-based dynamic facility layout problem. INFOR: Information Systems and Operational Research, 57(1), 1-31.
Kulturel-Konak, S., & Konak, A. (2011a). A new relaxed flexible bay structure representation and particle swarm optimization for the unequal area facility layout problem. Engineering Optimization, 43(12), 1263-1287.
Kulturel-Konak, S., & Konak, A. (2011b). Unequal area flexible bay facility layout using ant colony optimisation. International Journal of Production Research, 49(7), 1877-1902.
Kumar, K. R., Hadjinicola, G. C., & Lin, T.-l. (1995). A heuristic procedure for the single-row facility layout problem. European Journal of Operational Research, 87(1), 65-73.
Lakehal, S., Aitzai, A., & Ghedjati, F. (2021). Parallel hybrid BBO-TS algorithm for QAP-formulation of FLP. The International Journal of Advanced Manufacturing Technology, 117(11), 3189-3209.
Lee, Y. H., & Lee, M. H. (2002). A shape-based block layout approach to facility layout problems using hybrid genetic algorithm. Computers & Industrial Engineering, 42(2-4), 237-248.
Li, T., & Mashford, J. (1990). A parallel genetic algorithm for quadratic assignment.
Liu, J., Zhang, H., He, K., & Jiang, S. (2018). Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem. Expert Systems with Applications, 102, 179-192.
Liu, S., Zhang, Z., Guan, C., Liu, J., Gong, J., & Dewil, R. (2022). Mathematical formulation and two-phase optimisation methodology for the constrained double-row layout problem. Neural Computing and Applications, 1-20.
Liu, S., Zhang, Z., Guan, C., Zhu, L., Zhang, M., & Guo, P. (2021). An improved fireworks algorithm for the constrained single-row facility layout problem. International Journal of Production Research, 59(8), 2309-2327.
Mak, K., Wong, Y., & Chan, F. (1998). A genetic algorithm for facility layout problems. Computer Integrated Manufacturing Systems, 11(1-2), 113-127.
Mamaghani, A. S., & Meybodi, M. R. (2012). Solving the Quadratic Assignment Problem with the modified hybrid PSO algorithm. Paper presented at the 2012 6th International Conference on Application of Information and Communication Technologies (AICT).
Matai, R. (2015). Solving multi objective facility layout problem by modified simulated annealing. Applied Mathematics and Computation, 261, 302-311.
McKendall Jr, A. R., & Liu, W.-H. (2012). New Tabu search heuristics for the dynamic facility layout problem. International Journal of Production Research, 50(3), 867-878.
McKendall Jr, A. R., Shang, J., & Kuppusamy, S. (2006). Simulated annealing heuristics for the dynamic facility layout problem. Computers & Operations Research, 33(8), 2431-2444.
Meller, R. D., & Bozer, Y. A. (1996). A new simulated annealing algorithm for the facility layout problem. International Journal of Production Research, 34(6), 1675-1692.
Neghabi, H., Eshghi, K., & Salmani, M. H. (2014). A new model for robust facility layout problem. Information Sciences, 278, 498-509.
Neghabi, H., & Ghassemi Tari, F. (2015). An optimal approach for maximizing the number of adjacencies in multi floor layout problem. International Journal of Production Research, 53(11), 3462-3474.
Ou-Yang, C., Santosa, B., & Mustakim, A. (2013, 2013//). Artificial Particle Swarm Optimization with Heuristic Procedure to Solve Multi-Line Facility Layout Problem. Paper presented at the Proceedings of the Institute of Industrial Engineers Asian Conference 2013, Singapore.
Paes, F. G., Pessoa, A. A., & Vidal, T. (2017). A hybrid genetic algorithm with decomposition phases for the unequal area facility layout problem. European Journal of Operational Research, 256(3), 742-756.
Palubeckis, G. (2017). Single row facility layout using multi-start simulated annealing. Computers & Industrial Engineering, 103, 1-16.
Pan, X., Xue, L., Lu, Y., & Sun, N. (2019). Hybrid particle swarm optimization with simulated annealing. Multimedia Tools and Applications, 78(21), 29921-29936.
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