[1] Sabzeparvar M. (2014) "Project management and control", 11th Edition, Termeh Press, Tehran.
[2] Shirmohammadi A. (2010) Management and control of project, 2nd Edition, Esfahan, Jahad Daneshgahi Press.
[3] Demeulemeester E. L. (2002) Project scheduling: A research handbook, Vol. 102, Springer.
[4] Deckro R. F. Winkofsky E. P, Hebert J. E., Gagnon R. (1991) "A decomposition approach to multi-project scheduling", Eur. J. Oper. Res., Vol. 51, No. 1: 110–118.
[5] Chiu H. N., Tsai D. M. (2002) "An efficient search procedure for the resource-constrained multi-project scheduling problem with discounted cash flows", Constr. Manag. Econ., Vol. 20, No. 1: 55–66.
[6] Kim K. W., Gen M., Yamazaki G. (2003) "Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling", Appl. Soft Comput., Vol. 2, No. 3: 174–188.
[7] Kumanan S., Jose G. J., Raja K. (2006) "Multi-project scheduling using an heuristic and a genetic algorithm", Int. J. Adv. Manuf. Technol, Vol. 31, No. 3–4, pp. 360–366.
[8] Tseng L.-Y., Chen S.-C. (2006) "A hybrid metaheuristic for the resource-constrained project scheduling problem", Eur. J. Oper. Res., Vol. 175, No. 2: 707–721.
[9] Gonçalves J. F., Mendes J. J. M., Resende M. G. C. (2008) "A genetic algorithm for the resource constrained multi-project scheduling problem", Eur. J. Oper. Res., Vol. 189, No. 3: 1171–1190.
[10] Ziarati K., Akbari R., Zeighami V. (2011) "On the performance of bee algorithms for resource-constrained project scheduling problem", Appl. Soft Comput., Vol. 11, No. 4: 3720–3733.
[11] Wu S., Wan H.-D., Shukla S. K., Li B. (2011) "Chaos-based improved immune algorithm (CBIIA) for resource-constrained project scheduling problems", Expert Syst. Appl., Vol. 38, No. 4: 3387–3395.
[12] Wang L., Fang C. (2012) "A hybrid estimation of distribution algorithm for solving the resource-constrained project scheduling problem", Expert Syst. Appl., Vol. 39, No. 3: 2451–2460.
[13] Nasiri M. M. (2013) "A pseudo particle swarm optimization for the RCPSP,” Int. J. Adv. Manuf. Technol., Vol. 65, No. 5–8: 909–918.
[14] Koulinas G., Kotsikas L., Anagnostopoulos K. (2014) "A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem", Inf. Sci. (Ny)., Vol. 277, pp. 680–693.
[15] Fahmy A., Hassan T. M., Bassioni H. (2014) "Improving RCPSP solutions quality with Stacking Justification – Application with particle swarm optimization", Expert Syst. Appl., Vol. 41, No. 13, pp. 5870–5881.
[16] Zhang L., Luo Y., Zhang Y. (2015) “Hybrid particle swarm and differential evolution algorithm for solving multimode resource-Constrained project scheduling problem", Joural Control Sci. nad Eng., Vol. 2015.
[17] Jafarnejad Chaghoshi A. (2012) Modern production and operation management’ University of Tehran press, Tehran, Iran.
[18] Mehregan M. (2012) ‘Mathematical modeling’ 4th edition, SAMT press, Tehran, Iran.
[19] Cheng M., Tran D., Cao M. (2014) "Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem", KNOWLEDGE-BASED SYSTEMS. Elsevier B.V.
[20] Shahsavari por N., Modarres M., Aryanejad M. B., Tavakoli Moghadam R. (2010) “The discrete time-cost-quality trade-off problem using a novel hybrid genetic algorithm", Appl. Math. Sci., Vol. 4, No. 42, pp. 2081–2094.
[21] Wolpert D. H., Macready W. G. (1997) "No free lunch theorems for optimization", Evol. Comput. IEEE Trans., Vol. 1, No. 1, pp. 67–82.
[22] Kolisch R., Sprecher A. (1997) "PSPLIB - A project scheduling problem library", Eur. J. Oper. Res., Vol. 96, No. 1, pp. 205–216.
[23] Yang X.-S. (2010) "Firefly algorithm, stochastic test functions and design optimisation", Int. J. Bio-Inspired Comput., Vol. 2, No. 2, pp. 78–84.
[24] Yousefi A. A., Ebrahim khani H. (2011) "Evaluation and development of firefly algorithm to solve the scheduling of workshop production problem’ 9th international conference of industrial engineering", Tehran, Iran.
[25] Yang X. (2012) "Multiobjective firefly algorithm for continuous optimization", pp. 13–15.
[26] Cerny V. (1985) "Thermodynamical approach to the traveling salesman problem : An efficient simulation algorithm", J. Optim. THEORY Appl., Vol. 45, No. l, pp. 41–51.
[27] Kirkpatrick S., Gelatt C. D.,. Vecchi M. P.(1983) "Optimization by Simulated Annealing", Sceince, Vol. 220, No. 4598, pp. 671–682.
[28] J. Doreo, Petrowski A., Siarry P., Taillard E. (2006) Metaheuristics for Hard Optimization: Methods and Case Studies, Springer-Verlang.
[29] Sajjadi S. Kh. A., Azimi P. (2015) "Optimizing the equipment of the bank brach with simulation and annealing algorithm", Journal of Management Researches in Iran (MRIJ), Vol. 58, pp. 65-86, (in Persian).
[30] Moraga R. J., DePuy G. W., Whitehouse G. E. (2006) A Solution Methodology for Optimization Problems, Taylor and Francis Group LLC.
[31] Talbi E.-G. (2009) Metaheuristics: from design to implementation, John Wiley & Sons.
[32] Tavana M., Abtahi A., Khalili-Damghani K. (2014) "A new multi-objective multi-mode model for solving preemptive time–cost–quality trade-off project scheduling problems", Expert Syst. Appl., Vol. 41, pp. 1830–1846.
[33] Sadeghi A. (2010) "Solving the resource coonstrained project scheduling problem with firefly algorithm", Master thesis, University of Payam-e-Noor, Tehran, Iran.