Alcaraz, J., Maroto, C. & Ruiz, R. (2003). Solving the multimode resource-constrained project scheduling problem with genetic algorithms. Journal of the Operational Research Society, 54(6), 614–626.
Alcaraz, J., Maroto, C. & Ruiz, R. (2004). Improving the performance of genetic algorithms for the RCPS problem. In Proceedings of the Ninth International Workshop on Project Management and Scheduling, Nancy, pp. 40–43.
Allen, B. (1991). Choosing R&D projects: An informational approach. American Economic Review, 81(2), 257–261.
Askarianzadeh, R., Mousavi, S. M. & Barzegari, M. J. (2024). A hybrid group-MCDM framework for supplier selection problem in organ transplantation networks under an interval-valued fuzzy environment. Journal of Quality Engineering and Production Optimization, 9(2), 133–156.
Bai, L., Shi, H., Kang, S. & Zhang, B. (2023). Project portfolio risk analysis with the consideration of project interdependencies. Engineering, Construction and Architectural Management, 30(2), 647–670.
Bai, L., Yang, M., Pan, T. & Sun, Y. (2025). Project portfolio selection and scheduling incorporating dynamic synergy. Kybernetes, 54(2), 996–1026.
Barzegari, M. J., Mousavi, S. M. & Karami, S. (2023). An interval-valued fuzzy MULTIMOOSRAL method for supplier evaluation in oil production projects. Journal of Quality Engineering and Production Optimization, 8(1), 217–241.
Bouleimen, K. & Lecocq, H. (2003). A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version. European Journal of Operational Research, 149(2), 268–281.
Brucker, P., Drexl, A., Möhring, R., Neumann, K. & Pesch, E. (1999). Resource-constrained project scheduling: Notation, classification, models, and methods. European Journal of Operational Research, 112(1), 3–41.
Carlsson, C., Fullér, R., Heikkilä, M. & Majlender, P. (2007). A fuzzy approach to R&D project portfolio selection. International Journal of Approximate Reasoning, 44, 93–105.
Chen, J. & Askin, R. G. (2009). Project selection, scheduling, and resource allocation with time-dependent returns. European Journal of Operational Research, 193(1), 23–34.
Choi, J., Realff, M. J. & Lee, J. H. (2004). Dynamic programming in heuristically confined state space: A stochastic resource-constrained project scheduling application. Computers & Chemical Engineering, 28, 1039–1058.
Choi, J., Realff, M. J. & Lee, J. H. (2007). A Q-learning-based method applied to stochastic resource-constrained project scheduling with new project arrivals. International Journal of Robust and Nonlinear Control, 17, 1214–1231.
Davis, E. W. & Patterson, J. H. (1975). A comparison of heuristic and optimum solutions in resource-constrained project scheduling. Management Science, 21(8), 944–955.
Debels, D., De Reyck, B., Leus, R. & Vanhoucke, M. (2006). A hybrid scatter search/electromagnetism meta-heuristic for project scheduling. European Journal of Operational Research, 169(2), 638–653.
Demeulemeester, E. & Herroelen, W. (1992). A branch-and-bound procedure for the multiple resource-constrained project scheduling problem. Management Science, 38(12), 1803–1818.
Demeulemeester, E. & Herroelen, W. (1997). A branch-and-bound procedure for the generalized resource-constrained project scheduling problem. Operations Research, 45(2), 201–212.
Doerner, K., Gutjahr, W., Hartl, R., Strauss, C. & Stummer, C. (2004). Pareto ant colony optimization: A metaheuristic approach to multiobjective portfolio selection. Annals of Operations Research, 131, 79–99.
Emami, M. R., Haji Yakhchali, S. & Namazian, A. (2016). Robust optimization approach for project selection and scheduling problem with uncertain activity duration. International Journal of Humanities and Applied Sciences, 5(1).
Ferreira, E. B., de Lima, R. V. B., da Silva, A. L. C. D. L. & Roselli, L. R. P. (2025). Benefit-to-cost analysis in a portfolio problem for the context of the construction sector: A multi-criteria approach. Engineering, Construction and Architectural Management, 1–23.
ForouzeshNejad, A. (2024). A hybrid data-driven model for project portfolio selection problem based on sustainability and strategic dimensions: A case study of the telecommunication industry. Soft Computing, 28(3), 2409–2429.
Gabriel, S. A., Kumar, S., Ordóñez, J. & Nasserian, A. (2006). A multiobjective optimization model for project selection with probabilistic considerations. Socio-Economic Planning Sciences, 40, 297–313.
Ganji, M., Alinaghian, M. & Sajjadi, S. M. (2014). A new model for optimizing simultaneously projects selection and scheduling problem with resource constraints. Second National Conference on Industrial Engineering and Systems, 25–26 February. [In Persian].
Granot, D. & Zuckerman, D. (1991). Optimal sequencing and resource allocation in research and development projects. Management Science, 37(2), 140–156.
Habibi, F., Chakrabortty, R. K. & Servranckx, T. et al. (2025). Project portfolio selection and scheduling problem under material supply uncertainty. Operations Management Research, 18, 226–256.
Harrison, K. R., Elsayed, S., Garanovich, I. L., Weir, T., Galister, M., Boswell, S., Taylor, R. & Sarker, R. (2021). A hybrid multi-population approach to the project portfolio selection and scheduling problem for future force design. IEEE Access.
Harrison, K. R., Elsayed, S., Weir, T., Garanovich, I. L., Boswell, S. G. & Sarker, R. A. (2022). Solving a novel multi-divisional project portfolio selection and scheduling problem. Engineering Applications of Artificial Intelligence, 112, 104771.
Heidenberger, K. & Stummer, C. (1999). Research and development project selection and resource allocation: A review of quantitative modeling approaches. R&D Management, 29(3), 197–224.
Heilmann, R. (2003). A branch-and-bound procedure for the multimode resource-constrained project scheduling problem with minimum and maximum time lags. European Journal of Operational Research, 144(2), 348–365.
Hoseinia, A. R., Ghannadpour, S. F. & Hemmatib, M. A. (2020). Comprehensive mathematical model for resource-constrained multi-objective project portfolio selection and scheduling considering sustainability and projects splitting. Journal of Cleaner Production, 269, 122073.
Huang, X. (2007). Optimal project selection with random fuzzy parameters. International Journal of Production Economics, 106, 513–522.
Kandakoglu, M., Walther, G. & Ben Amor, S. (2024). The use of multi-criteria decision-making methods in project portfolio selection: A literature review and future research directions. Annals of Operations Research, 332, 807–830.
Kolisch, R. & Hartmann, S. (2006). Experimental investigation of heuristics for resource-constrained project scheduling: An update. European Journal of Operational Research, 174(1), 23–37.
Kolisch, R. (1996). Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation. European Journal of Operational Research, 90(2), 320–333.
Li, H., Yuan, Z., Yang, M., Yuan, Z. & Zhang, X. (2025). Project portfolio selection and scheduling considering net present value and delayed delivery. Journal of the Operational Research Society, 1–17.
Medaglia, A. L., Graves, S. B. & Ringuest, J. L. (2007). A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research, 179, 869–894.
Meredith, J. R. & Mantel, S. J. Jr. (1995). Project Management: A Managerial Approach. 3rd ed. Wiley, New York.
Mingozzi, A., Maniezzo, V., Ricciardelli, S. & Bianco, L. (1998). An exact algorithm for the resource-constrained project scheduling problem based on a new mathematical formulation. Management Science, 44(5), 714–729.
Mohagheghi, V., Mousavi, S. M., Antuchevičienė, J. & Mojtahedi, M. (2019). Project portfolio selection problems: A review of models, uncertainty approaches, solution techniques, and case studies. Technological and Economic Development of Economy, 25(6), 1380–1412.
Mukherjee, K. & Bera, A. (1995). Application of goal programming in project selection decision—A case study from the Indian coal mining industry. European Journal of Operational Research, 82, 18–25.
Naderi, B. (2013). The project portfolio selection and scheduling problem: Mathematical model and algorithms. Journal of Optimization in Industrial Engineering, 6(13), 65–72.
Nikkhahnasab, M. & Najafi, A. A. (2013). Project portfolio selection with the maximization of net present value. Journal of Optimization in Industrial Engineering, 12, 85–92.
Park, J. & Chong, J. K. (1991). A model to assess the value of an intermediate R&D result. IEEE Transactions on Engineering Management, 38(2), 157–163.
Prato, T. (2007). Selection and evaluation of projects to conserve ecosystem services. Ecological Modelling, 203(3–4), 290–296.
Rabbani, M., Aramoon Bajestani, M. & Baharian Khoshkhou, G. (2010). A multiobjective particle swarm optimization for project selection problem. Expert Systems with Applications, 37(1), 315–321.
Rabbani, M., Tavakoli Moghadam, R., Jolai, F. & Ghorbani, H. (2006). A comprehensive model for R&D project portfolio selection with 0–1 linear goal programming. International Journal of Engineering, 19, 55–66.
Rafiee, M. & Kianfar, F. A. (2011). A scenario tree approach to multi-period project selection problem using real-option valuation method. The International Journal of Advanced Manufacturing Technology, 56, 411–420.
Rafiee, M., Kianfar, F. & Farhadkhani, M. (2014). A multistage stochastic programming approach in project selection and scheduling. The International Journal of Advanced Manufacturing Technology, 70, 2125–2137.
Ramedani, A. M., Mehrabian, A. & Didehkhani, H. (2024). A two-stage sustainable uncertain multi-objective portfolio selection and scheduling considering conflicting criteria. Engineering Applications of Artificial Intelligence, 132, 107942.
Ringuest, J. L. & Graves, S. B. (1990). The linear R&D project selection problem: An alternative to net present value. IEEE Transactions on Engineering Management, 37(2), 143–146.
Sadat Hosseini, Z., Moghiseh, H. R. & Hassanpour, J. (2017). Scenario-based approach constrained project scheduling problem and compare with the average method. 13th International Conference on Industrial Engineering (IIEC). [In Persian].
Saiz, M., Lopez-Lopez, D., Calvet, L. & Juan, A. A. (2025). A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints. International Transactions in Operational Research.
Santhanam, R. & Kyparisis, G. J. (1995). A multiple criteria decision model for information system project selection. Computers & Operations Research, 22(8), 807–818.
Santhanam, R. & Kyparisis, G. J. (1996). A decision model for interdependent information system project selection. European Journal of Operational Research, 89, 380–399.
Schniederjans, M. & Santhanam, R. (1993). A multiobjective constrained resource information system project selection method. European Journal of Operational Research, 70(2), 244–253.
Sheikh, R. & Azari, M. (2015). Optimization of project portfolio with interaction using optimization algorithm (TLBO) based training and learning. Journal of Industrial Management, 3, 511–532. [In Persian].
Shenhar, A. J. & Dvir, D. (2007). Reinventing Project Management: The Diamond Approach to Successful Growth and Innovation. Harvard Business School Press, USA.
Shenhar, A. J. & Wideman, R. M. (1996). Improving PM: Linking success criteria to project type. Project Management Institute Symposium, Creating Canadian Advantage through Project Management, Calgary, Canada.
Shenhar, A. J., Dvir, D., Levy, O. & Maltz, A. (2001). Project success: A multidimensional strategic concept. Long Range Planning, 34(6), 699–725.
Sprecher, A., Kolisch, R. & Drexl, A. (1995). Semi-active, active, and non-delay schedules for the resource-constrained project scheduling problem. European Journal of Operational Research, 80(1), 94–102.
Stork, F. & Uetz, M. (2005). On the generation of circuits and minimal forbidden sets. Mathematical Programming, 102, 185–203.
Tofighian, A. A. & Naderi, B. (2015). Modeling and solving project selection and scheduling problem. Computers & Industrial Engineering, 83, 30–38.
Wang, J., Xu, Y. & Li, Z. (2009). Research on project selection system of pre-evaluation of engineering design project bidding. International Journal of Project Management, 27, 584–599.
Weingartner, H. M. (1963). Mathematical Programming and the Analysis of Capital Budgeting Problems. Prentice-Hall, Englewood Cliffs.
Weingartner, H. M. (1966). Capital budgeting of interrelated projects: Survey and synthesis. Management Science, 12(7), 485–516.
Zahedirad, M., Khalili-Damghani, K., Ghezavati, V. & Komijan, A. R. (2025). Solving an integrated project portfolio selection and contractor selection problem: Fuzzy goal programming based on fuzzy preference relations. Fuzzy Information and Engineering, 17(1), 75–107.