[1] Baybars, I., 1986. A survey of exact algorithms for the simple assembly line balancing problem. Management Science, 32 (8), pp.909–932. https://doi.org/10.1287/mnsc.32.8.909.
[2] Becker, C. and Scholl, A., 2006. A survey on problems and methods in generalized assembly line balancing. European Journal of Operational Research, 168, pp.694–715. https://doi.org/ 10.1016/j.ejor.2004.07.023.
[3] Andres, C., Miralles, C. and Pastor, R., 2008. Balancing and scheduling tasks in assembly lines with sequence-dependent setup times. European Journal of Operational Research, 187, pp.1212–1223. https://dx.doi.org/10.1016/j.ejor.2006.07.044.
[4] Seyed-Alagheband, S.A., Fatemi Ghomi, S.M.T. and Zandieh, M., 2011. A simulated annealing algorithm for balancing the assembly line type II problem with sequence-dependent setup times between tasks. International Journal of Production Research, 49 (3), pp.805-825. https://doi.org/10.1080/00207540903471486.
[5] Allahverdi, A. and Soroush, H.M., 2008. The significance of reducing setup times/setup costs. European Journal of Operational Research, 187, pp.978–984. https://doi.org/10.1016/j.ejor.2006.09.010.
[6] Salveson, M.E., 1955. The assembly line balancing problem. Journal of Industrial Engineering, 6 (3), pp.18–25. https://doi.org/10.1115/1.4014559.
[7] Scholl, A. and Becker, C., 2006. State-of-the-art exact and heuristic solution procedures for simple assembly line balancing. European Journal of Operational Research, 168, pp.666–693, https://doi.org/10.1016/j.ejor.2004.07.022.
[8] Sivasankaran, P. and Shahabudeen, P., 2014. Literature review of assembly line balancing problems. International Journal of Advanced Manufacturing Technology, 73, pp.1665–1694. https://doi.org/10.1007/s00170-014-5944-y.
[9] Boysen, N., Fliedner, M. and Scholl, A., 2007. A classification of assembly line balancing problems. European Journal of Operational Research, 183, pp.674–693. https://doi.org/10.1016/j.ejor.2006.10.010.
[10] Chen, R.S., Lu, K.Y. and Yu, S.C., 2002. A hybrid genetic algorithm approach on multi-objective of assembly planning problem. Engineering Applications of Artificial Intelligence, 15, pp.447–457. https://doi.org/10.1016/S0952-1976(02)00073-8.
[11] Babazadeh, H. and Javadian, N, 2019. A novel meta-heuristic approach to solve fuzzy multi-objective straight and U-shaped assembly line balancing problems. Soft Computing, 23, pp.8217–8245. https://doi.org/10.1007/s00500-018-3457-6.
[12] Saif, U., Guan, Z., Liu, W., Zhang, C. and Wang, B., 2014. Pareto based artificial bee colony algorithm for multi objective single model assembly line balancing with uncertain task times. Computers & Industrial Engineering, 76, pp.1-15. https://doi.org/10.1016/j.cie.2014.07.009.
[13] Nearchou, A.C., 2008. Multi-objective balancing of assembly lines by population heuristics. International Journal of Production Research, 46 (8), pp.2275-2297. https://doi.org/10.1080/00207540600988089
[14] Baykasoglu, A., 2006. Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems. Journal of Intelligent Manufacturing, 17, pp.217–232. https://doi.org/10.1007/s10845-005-6638-y.
[15] Allahverdi, A., 2015. The third comprehensive survey on scheduling problems with setup times/costs. European Journal of Operational Research, 246 (2), pp.345–378. https://doi.org/10.1016/j.ejor.2015.04.004.
[16] Martino, L. and Pastor, R., 2010. Heuristic procedures for solving the general assembly line balancing problem with setups. International Journal of Production Research, 48 (6), pp.1787-1804. https://doi.org/10.1080/00207540802577979,
[17] Scholl, A., Boysen, N. and Fliedner, M., 2013. The assembly line balancing and scheduling problem with sequence-dependent setup times: problem extension, model formulation and efficient heuristics. OR Spectrum, 35 (1), pp.291-320. https://doi.org/10.1007/s00291-011-0265-0.
[18] Esmaeilbeigi, R., Naderi, B. and Charkhgard, P., 2015. The type E simple assembly line balancing problem: A mixed integer linear programming formulation. Computers & Operations Research, 64, pp.168–177. https://doi.org/10.1016/j.cor.2015.05.017.
[19] Delice, Y., Aydogan, E.K., Soylemez, İ. and Ozcan, U., 2018. An ant colony optimisation algorithm for balancing two-sided U-type assembly lines with sequence-dependent set-up times. Sādhanā, 43 (12), 1-15. http://dx.doi.org/10.1007%2Fs12046-018-0969-9.
[20] Wu, C.C. and Lee, W.C., 2006. Single machine scheduling to minimize the setup time and the earliness. Journal of Information & Optimization Sciences, 27 (2), pp.499-510. http://dx.doi.org/10.1080/02522667.2006.10699705.
[21] Garey, M. R. and D. S. Johnson, 1979. Computers and Intractability: A Guide to the Theory of NP-Completeness. New York, NY, USA: W. H. Freeman & Company. ISBN 0-7167-1045-5.
[22] Czyzak, P. and Jaszkiewicz, A., 1998. Pareto simulated annealing - a metaheuristic technique for multiple-objective combinatorial optimization, Journal of Multi-Criteria Decision Analysis, 7, pp.34-47. https://doi.org/10.1002/(SICI)1099-1360(199801)7:1%3C34::AID-MCDA161%3E3.0.CO;2-6.
[23] Nearchou, A.C., 2007. Balancing large assembly lines by a new heuristic based on differential evolution method. International Journal of Advanced Manufacturing Technology, 34, pp.1016–1029. https://doi.org/10.1007/s00170-006-0655-7.
[24] Şahin, R. and Türkbey, O., 2009. A simulated annealing algorithm to find approximate Pareto optimal solutions for the multi-objective facility layout problem. International Journal of Advanced Manufacturing Technology, 41, pp.1003-1018. https://doi.org/10.1007/s00170-008-1530-5.