[1] Deming L and Ping GX, "Variable neighborhood search for minimizing tardiness objectives on flow shop with batch processing machines," Int J Prod Res.., vol. 49, pp. 519-529, 2011.
[2] Baker K.R and Schrage L.E, "Sequencing with earliness and tardiness penalties: a review," Operations Research, vol. 38, pp. 22-36, 1990.
[3] Kanet J, "Minimizing the average deviation of job completion times about a common due date," Naval Research Logistics Quart, vol. 28, pp. 643-651, 1981.
[4] Yeh W and Allahverdi A, "A branch and bound algorithm for the three machine flow shop scheduling problem with bi-criteria of make-span and total flow time," International Transaction in Operations Research, vol. 11(30), pp. 323-327, 2004.
[5] Anghinolfi D and Paolucci M, "Parallel machine total tardiness Scheduling With a new hybrid met heuristic approach," Computers & Operations Research, vol. 34, pp. 3471-3490, 2007.
[6] Sari cicek i and Celik C, "Two meta-heuristics for Parallel machine Scheduling with job splitting to minimize total tardiness," Applied Mathematical Modelling, vol. 35, pp. 4117-4126, 2011.
[7] Demirel T, Ozkir V, Demirel NC and Tasdelen B, "A genetic algorithm approach for minimizing total tardiness in parallel machine scheduling problems.," Proceedings of the World Congress on Engineering, July 6-8 2011.
[8] Vallada E, Ruiz R and Minella G, "Minimizing total tardiness in the m-machine flow shop problem: a review and evaluation of heuristics and meta heuristics," Comput Oper Res, vol. 35, pp. 1350-1373, 2008.
[9] Karimi N and Davoudpour H, "A high Performing meta heuristic for multi-objective Flow shop Scheduling Problem," Computers & Operations Research, vol. 52, pp. 149-156, 2014.
[10] Ghassemi Tari F and Olfat L, "Heuristic rules for tardiness Problem in Flow Shop With intermediate due. Int. J Adv manut Technology," J Adv manut Technology, vol. 71, pp. 381-393, 2014.
[11] Brucker P., S. Knust and G. and Wang, "Complexity result for flow-shop problems with a single server," European Journal of Operational Research, vol. 165, pp. 398-407, 2005.
[12] Elmi, A, Solimanpur, M and & Topaloglu, S, "A simulated annealing algorithm for the job shop cell scheduling problem with intercellular moves and reentrant parts," Computers & Industrial Engineering, 2011.
[13] Gaafar, L and & Masoud, S, "Genetic algorithms and simulated annealing for scheduling in agile manufacturing.," International Journal of Production Research, vol. 43(14), pp. 3069-3085, 2005.
[14] Rabiee, M, Zandieh, M and & Jafarian, A, "Scheduling of a no-wait two-machine flow shop with sequence-dependent setup times and probable rework using robust meta-heuristics," 2012.
[15] Ghafoori S. and M. taghizadeh yazdi, "Proposing a Multi- Objective Mathematical Model for RCPSP and Solving it with Firefly and Simulated Annealing algorithms," Journal of Modern Researches in Decision Making, vol. vol 1 no4 (in Persian), pp.117-142,2017.
[16] Lian, Z, Gu, X and & Jiao, B, "A novel particle swarm optimization algorithm for permutation flow-shop scheduling to minimize makespan," Chaos, Solitons & Fractals, vol. 35(5), pp. 851-861, 2008.
[17] Tasgetiren, M.F, Liang, Y.-C, Sevkli, M and & Gency, "A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem," European Journal of Operational Research, vol. 177(3), p. 1930, 2007.
[18] Chang, P.C, Chen, S.H and Fan, C.Y, "A hybrid electromagnetism-like algorithm for single machines scheduling problem," Expert Syst. Appl, vol. 36 (2), pp. 1259-1267, 2009.
[19] Holland, J.H, "Adaptation in natural and artificial systems, University of Michigan press," Ann Arbor, MI, vol. 1(97), p. 5, 1975.
[20] Yang, Y, Cui, Z and & Cheng, J, "An Improved Genetic Algorithm for Multiple-Depot Vehicle Routing Problem with Time Window," Journal of Soochow University (Engineering Science Edition), vol. 26(2), pp. 20-23, 2006.
[21] Chen, C.-L, Neppalli, R.V and & Aljaber, N, "Genetic algorithms applied to the continuous flow shop problem.," Computers & Industrial Engineering, vol. 30(4), pp. 919-929, 1996.
[22] Gen M., F. Altiparmak and L & Lin, "A genetic algorithm for two- stage transportation problem using priority- based encoding or spectrum,". vol 28 (3),. pp 337-354, 2006.
[23] Vahdani, B and & Zandieh, M, "Scheduling trucks in cross-docking systems: Robust meta-heuristics," Computers & Industrial Engineering, vol. 58(1), pp. 12-24, 2010.
[24] Sivanandam, S and & Deepa, S, "Introduction to genetic algorithms: Springer Science & Business Media.," 2007.
[25] Kirkpatrick, S, Gelatt, C.D and & Vecchi, M.P, "Optimization by simulated annealing," science, vol. 220(4598), p. 671, 1983.
[26] Golden, B.L and & Skiscim, C.C, "Using simulated annealing to solve routing and location problems," Naval Research Logistics Quarterly, vol. 33(2), pp. 261-279, 1986.
[27] Tarantilis, C and & Kiranoudis, C, "A meta-heuristic algorithm for the efficient distribution of perishable foods," Journal of food engineering, vol. 50(1), pp. 1-9, 2001.
[28] Kennedy, J and & Eberhart, R.C, "Particle swarm optimization. In: P.o.I.C.o.N. Networks," Perth, Australia,: IEEE., vol. 4, pp. 1942-1948, 1995.
[29] Eberhart, R.C, Shi, Y and & Kennedy, J, "Swarm intelligence. San Mateo," CA: Morgan Kaufmann division of Academic Press, 2011.
[30] Shi, Y and & Eberhart, R.C, "(1999). Empirical study of particle swarm optimization," In: (Vol. 3): IEEE..
[31] Govindan, K, Jafarian, A, Khodaverdi, R and & Marid, "Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economic, 2013.