References:
1. Office of Government Commerce. “Management of Portfolios”, The Stationery Office (2011).
2. Fernandez, E., Lopez, E., Mazcorro, G., et al. “Application of the non-outranked sorting genetic algorithm to public project portfolio selection”, Information Sciences, 228, pp. 131-149 (2013).
3. Project Management Institute. “The Standard for Portfolio Management”, Third Edition (2013).
4. Markowitz, H. “Portfolio Selection”, J. Finance, 7(1), pp. 77-91 (1952).
5. Alvarez-García, B., and Fernández-Castro, A. S. “A comprehensive approach for the selection of a portfolio of interdependent projects, an application to subsidized projects in Spain”, Comput. Ind. Eng., 118, pp. 153-159 (2018).
6. Kalashnikov, V., Benita, F., López-Ramos, F., et al. “Bi-objective project portfolio selection in Lean Six Sigma”, Int. J. Prod. Econ., 186, pp. 81-88 (2017).
7. Khalili-Damghani, K., Sadi-Nezhad, S., and Tavana, M. “Solving multi-period project selection problems with fuzzy goal programming based on TOPSIS and a fuzzy preference relation”, Inf. Sci., 252, pp. 42-61 (2013).
8. Rafiee, H., and Rabbani, M. “Project selection using fuzzy group analytic network process”, World. Acad. Sci. Eng. Technol., 58(4), pp. 457-46 (2009).
9. Jafarzadeh, H., Akbari, P., and Abedin, B. “A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency–combination of fuzzy QFD and DEA”, Expert. Syst. Appl., 110, pp. 237-249 (2018).
10. Sharma, J. K., Sharma, D. K., and Adeyeye, J. O. “Optimal portfolio selection: A goal programming approach”, Indian. J. Financ. Res., 7(2), pp. 67-76 (1995).
11. Bravo, M., Pla‐Santamaria, D., and Garcia‐Bernabeu, A. “Portfolio selection from multiple benchmarks: A goal programming approach to an actual case”, J. Decis. Multi. Crit. Anal., 17(5-6), pp. 155-166 (2010).
12. Ghahtarani, A., and Najafi, A. A. “Robust goal programming for multi-objective portfolio selection problem”, Econ. Model., 33, pp. 588-592 (2013).
13. Kocadağlı, O., and Keskin, R. “A novel portfolio selection model based on fuzzy goal programming with different importance and priorities” Expert. Syst. Appl., 42(20), pp. 6898-6912 (2015).
14. Tabrizi, B.H., Torabi, S.A., and Ghaderi S.F. “A novel project portfolio selection framework: An application of fuzzy DEMATEL and multi-choice goal Programming”, Scientia Iranica, Transactions E: Industrial Engineering, 23 pp. 2945-2958 (2016).
15. Huang, C. C., Chu, P. Y., and Chiang, Y. H. “A fuzzy AHP application in government-sponsored R&D project selection”, Omega, 36(6), pp. 1038-1052 (2008).
16. Litvinchev, I. S., López, F., Alvarez, A., et al. “Large-scale public R&D portfolio selection by maximizing a biobjective impact measure”, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, 40(3), pp. 572-582 (2010).
17. Arratia M. N. M., Lopez, I. F., Schaeffer, S. E., and Cruz-Reyes, L. “Static R&D project portfolio selection in public organizations”, Decis. Support. Syst., 84(C), pp. 53-63 (2016). 18. Pujadas, P., Pardo-Bosch, F., Aguado-Renter, A., and Aguado, A. “MIVES multi-criteria approach for the evaluation, prioritization, and selection of public investment projects. A case study in the city of Barcelona”, Land. Use. Policy, 64, pp. 29-37 (2017).
19. Roman, D. R. “A surrogate-assisted genetic algorithm for the selection and design of highway safety and travel time improvement projects”, Safety Science, 103, pp. 305-315 (2018). 20. Wu, Y. J., and Chen, J. C. “A structured method for smart city project selection”, International Journal of Information Management, In Press.
21. Toregas, C., Swain, R., ReVelle, C., and Bergman, L. “The location of emergency service facilities”, Oper. Res., 19(6), pp. 1363-1373 (1971).
22. Ghorbani, S., and Rabbani, M. “A new multi-objective algorithm for a project selection problem”, Adv. Eng. Softw., 40(1), pp. 9-14 (2009).
23. Yu, L., Wang, S., Wen, F., et al. “Genetic algorithm-based multi-criteria project portfolio selection”, Annals of Operations Research, 197, pp. 71-86 (2012).
24. Wu, Y., Xu, C., Ke, Y., et al. “Portfolio selection of distributed energy generation projects considering uncertainty and project interaction under different enterprise strategic scenarios”, Applied Energy, 236, pp. 444-464 (2019).
25. Talbi, E. “Metaheuristics from Design to Implementation”, John Wiley & Sons (2009).
26. Goldberg, D. E. “Genetic algorithms in search, optimization, and machine learning”, New York: Addison-Wesley (1989).