[1] Aliyeh, K. F., Sarvandy. (2018). Mathematical modeling of project scheduling problem with resource constraint approach and solving it using meta-heuristic algorithms. Modern Research in Decision Making.
[2] Zamani, A., Khanzadi, M., Jabal Ameli, M. S., & Sarhadi, M. (2017). Developing a Framework for Applying Risk Management in a Fuzzy Environment for Implementing Construction Projects Value Engineering: Case of Khorramshahr Port. Management Research in Iran, 21(3), 139-166.
[3] Abbasnejad, T., Behboudi, M. R., Sahelizadegan, F., & Mahmoodi, J. (2017). Strategic performance measurement of employees based on project efficiency and effectiveness. Iranian Journal of Management Studies, 10(1), 207-236. (In Persian).
[4] Neumann, K., Schwindt, C., & Zimmermann, J. (2012). Project scheduling with time windows and scarce resources: temporal and resource-constrained project scheduling with regular and nonregular objective functions: Springer Science & Business Media.
[5] Ameer, A. A. A., & Mohammed, S. R. (2011). Optimization Of Resource Allocation And Leveling Using Genetic Algorithms. Journal of Engineering, 17(4), 929-947.
[6] Li, H., Wang, M., & Dong, X. (2019). Resource leveling in projects with stochastic minimum time lags. Journal of construction engineering and management, 145(4), 04019015.
[7] Yousefi Hanoomarvar, A., Amiri, M., Olfat, L., & Naser Sadrabadi, A. (2021). Time-Cost-Quality Trade Off in PERT Networks Using Neural Network and Evolutionary Algorithms. Modern Research in Decision Making, 6(1), 92-122.
[8] Burgess, A., & Killebrew, J. B. (1962). Variation in activity level on a cyclical arrow diagram. Journal of Industrial Engineering, 13(2), 76-83.
[9] Mattila, K. G., & Abraham, D. M. (1998). Resource leveling of linear schedules using integer linear programming. Journal of construction engineering and management, 124(3), 232-244.
[10] Rieck, J., Zimmermann, J., & Gather, T. (2012). Mixed-integer linear programming for resource leveling problems. European Journal of Operational Research.
[11] Coughlan, E. T., Lübbecke, M. E., & Schulz, J. (2015). A branch-price-and-cut algorithm for multi-mode resource leveling. European Journal of Operational Research. 245(1), 70-80.
[12] Bandelloni, M., Tucci, M., & Rinaldi, R. (1994). Optimal resource leveling using non-serial dyanamic programming. European Journal of Operational Research, 78(2), 162-177.
[13] Geng, J.-q., Weng, L.-p., & Liu, S.-h. (2011). An improved ant colony optimization algorithm for nonlinear resource-leveling problems. Computers & Mathematics with Applications, 61(8), 2300-2305.
[14] Leu, S.-S., & Hung, T.-H. (2002). An optimal construction resource leveling scheduling simulation model. Canadian Journal of Civil Engineering. 275-267, (2)29.
[15] Leu, S.-S., Chen, A.-T., & Yang, C.-H. (1999). A fuzzy optimal model for construction resource leveling scheduling. Canadian Journal of Civil Engineering, 26(6), 673-684.
[16] Wang, S., & Watada, J. (2012). Fuzzy stochastic optimization: theory, models and applications: Springer Science & Business Media.
[17] Alipouri, Y., Sebt, M. H., Ardeshir, A., & Zarandi, M. H. F. (2020). A mixed-integer linear programming model for solving fuzzy stochastic resource constrained project scheduling problem. Operational Research, 1-21.
[18] Gang, J., Xu, J., & Xu, Y. (2013). Multiproject resources allocation model under fuzzy random environment and its application to industrial equipment installation engineering. Journal of Applied Mathematics, 2013.
[19] Fan, G.-M., & Huang, H.-J. (2017). A novel binary differential evolution algorithm for a class of fuzzy-stochastic resource allocation problems. Paper presented at the 2017 13th IEEE International Conference on Control & Automation (ICCA).
[20] Leu, S.-S., Yang, C.-H., & Huang, J.-C. (2000). Resource leveling in construction by genetic algorithm-based optimization and its decision support system application. Automation in Construction, 10(1), 27-41.
[21] Savin, D., Alkass, S., & Fazio, P. (1996). Construction resource leveling using neural networks. Canadian Journal of Civil Engineering, 23(4), 917-925.
[22] Son, J., & Skibniewski, M. J. (1999). Multiheuristic approach for resource leveling problem in construction engineering: Hybrid approach. Journal of construction engineering and management, 125(1), 23-31.
[23] Hossein Hashemi Doulabi, S., Seifi, A., & Shariat, S. Y. (2011). Efficient hybrid genetic algorithm for resource leveling via activity splitting. Journal of construction engineering and management, 137(2), 137-146.
[24] Ashuri, B., & Tavakolan, M. (2012). Fuzzy enabled hybrid genetic algorithm–particle swarm optimization approach to solve TCRO problems in construction project planning. Journal of construction engineering and management, 138(9), 1065-1074.
[25] Li, H., & Demeulemeester, E. (2016). A genetic algorithm for the robust resource leveling problem. Journal of Scheduling, 19(1), 43-60.
[26] Li, H., Xu, Z., & Demeulemeester, E. (2015). Scheduling policies for the stochastic resource leveling problem. Journal of construction engineering and management, 141(2), 04014072.
[27] Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation, 6(2), 182-197.
[28] Heon Jun, D., & El-Rayes, K. (2011). Multiobjective optimization of resource leveling and allocation during construction scheduling. Journal of construction engineering and management, 137(12), 1080-1088.
[29] Masoomi, Z., Mesgari, M. S., & Hamrah, M. (2013). Allocation of urban land uses by Multi-Objective Particle Swarm Optimization algorithm. International Journal of Geographical Information Science, 27(3), 542-566.
[30] Deb, K. (2011). Multi-objective optimisation using evolutionary algorithms: an introduction. In Multi-objective evolutionary optimisation for product design and manufacturing (pp. 3-34): Springer.