Atashpaz-Gargari, E. and Lucas, C., 2007. “Imperialist Competitive Algorithm: An Algorithm for Optimization inspired by imperialistic Competition”, IEEE Congress on Evolutionary Computation, 4661–4667. Singapore.
Carazo, A. F., Gómez, T., Molina, J., Hernández-Díaz, A. G., & Guerrero, F. M., 2010. “Solving a Comprehensive model for multi-objective project portfolio selection”, Computers & Operations Research, 37(4): 630 – 639.
Coffin, M. A., and Talor, B., 1996. “Multiple criteria R&D project selection & scheduling using fuzzy logic”, Computers Operational Research, 23(3): 207-220.
Ghorbani, S. and Rabbani, M., 2009. “A new multi-objective algorithm for a project selection problem”, Advances in Engineering Software, 40(1): 9-14.
Golmohammadi, A. and Pajoutan, M., 2011. “Meta heuristics for dependent portfolio selection problem considering risk”, Expert Systems with Applications, 38(5): 5642–5649.
He, F. and Qu, R., 2014. “A two-stage stochastic mixed-integer program modeling and hybrid solution approach to portfolio selection problems”, Information Sciences, 289: 190-205.
Huang, X. and Zhao, T., 2014. “Mean-chance model for portfolio selection based on uncertain measure”, Insurance: Mathematics and Economics, 59: 243-250.
Huang, x. andZhao, T., 2014. “Project selection and scheduling with uncertain net incomeand investment cost”, Applied Mathematics and Computation, 247: 61- 71.
Koski, J., & Silvennoinen, R., 1987. “Norm methods and practical weighting in multicriterion optimization of structures”, International Journa for numerical methods in Engineering, 24(6): 1101-1121.
Lotfi, M. M. and Ghaderi, S.F., 2013. “Sort- term Price- based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal programming Approach”, International Journal of Engineering Transactions: Aspects, 26(9): 1017-1030.
Naderi, B., 2013. “The Project Portfolio Selection and Scheduling Problem: Mathematical Model and Algorithms”, Journal of Optimization in Industrial Engineering, 6(13): 65-72.
Nahvi, H. and Mohagheghian, I., 2011. “A practical Swarm optimization algorithm for mixed variable nonlinear problem”, International Journal of Engineering Transaction A: Basics, 24(1): 65-78.
Nikkhahnasab, M. & Najafi, A. A., 2013. “Project Portfolio Selection with the Maximization of Net Present Value”, Journal of Optimization in Industrial Engineering, 6(12): 85-92.
Orumie, U. C. and Ebong, D., 2014. “A Glorious Literature on Linear Goal Programming Algorithms”, American Journal of Operations Research, 4(2): 59-71.
Pourkazemi, M. H., Fattahi, M., Mazaheri, S. and Asadi, B. 2013. “Project Portfolio Optimization with Considering Interaction between Projects Using Imperialist Competitive Algorithm (ICA)”, Journal of Industrial Management, 5(1): 1-20. (inPersian)
Rabbani, M., Tavakkoli- Moghaddam, R., Jolai, F. and Ghorbani, H.R., 2006. “A comprehensive model for R&D project portfolio selection with zero-one linear goal Programming”,International Journal of Engineering Transactions a: Basic, 19(1): 55–66.
Rao, S.S.; Freiheit, T.I., 1991. “A modified game theory approach to multiobjective optimization”, J. Mechanical Design, 113(3): 286-291.
Sefair, J. A. &Medaglia, A. L., 2005. “Towards a model for selection and scheduling of risky projects”, Proceedings of the Systems and Information Engineering Design Symposium, 158 – 164. Virginia, USA.
Shahnazari-Shahrezaei, P., Tavakkoli- Moghaddam, R. and Kazemipoor, H., 2011. “Solving a bi-objective manpower scheduling problem considering the utility of objective functions”, International Journal of Engineering Transactions B: Applications, 24(3): 251- 262.
Tavana, M., Keramatpour, M., Santos-Arteaga, F. J. and Ghorbaniane, E. In Press, Uncorrected Proof. “A Fuzzy HybridProject Portfolio Selection Method Using Data Envelopment Analysis, TOPSIS and Integer Programming”,Expert Systems with Applications. Available onlinefrom http://www.sciencedirect.com/science/article/pii/S0957417415004595.
Tseng, CH. CH. & Liu, B. SH., 2011. “Hybrid Taguchi-genetic Algorithm for Selecting and Scheduling a Balanced Project Portfolio”, Journal of Science and Engineering Technology, 7(1): 11-18.
Zhu, H., Wang, Y., Wang, K. and Chen, Y., 2011. “Particle swarm optimization (PSO) for the constrained portfolio optimization problem”, Expert Systems with Applications, 38(8): 10161–10169.