F. Shrouf, J. Ordieres-Meré, A. García-Sánchez, M. Ortega-Mier, Optimizing the production scheduling of a single machine to minimize total energy consumption costs, Journal of Cleaner Production, 67 (2014) 197-207.
 A. Sharma, F. Zhao, J.W. Sutherland, Econological scheduling of a manufacturing enterprise operating under a time-of-use electricity tariff, Journal of Cleaner Production, 108 (2015) 256-270.
 A. Rezvani, M. Gandomkar, M. Izadbakhsh, A. Ahmadi, Environmental/economic scheduling of a micro-grid with renewable energy resources, Journal of cleaner production, 87 (2015) 216-226.
 B. Khoshnevisan, E. Bolandnazar, S. Barak, S. Shamshirband, H. Maghsoudlou, T.A. Altameem, A. Gani, A clustering model based on an evolutionary algorithm for better energy use in crop production, Stochastic environmental research and risk assessment, 29(8) (2015) 1921-1935.
 S. Barak, M. Yousefi, H. Maghsoudlou, S. Jahangiri, Energy and GHG emissions management of agricultural systems using multi objective particle swarm optimization algorithm: a case study, Stochastic environmental research and risk assessment, 30(4) (2016) 1167-1187.
 R.H. Möhring, Minimizing costs of resource requirements in project networks subject to a fixed completion time, Operations Research, 32(1) (1984) 89-120.
 S.-H. Cho, S.D. Eppinger, A simulation-based process model for managing complex design projects, IEEE Transactions on engineering management, 52(3) (2005) 316-328.
 L.L. Minku, D. Sudholt, X. Yao, Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design, in: Proceedings of the 14th annual conference on Genetic and evolutionary computation, ACM, 2012, pp. 1221-1228.
 L.T. Bui, M. Barlow, H.A. Abbass, A multi-objective risk-based framework for mission capability planning, New Mathematics and Natural Computation, 5(02) (2009) 459-485.
 B. De Reyck, R. Leus, R&D project scheduling when activities may fail, IIE transactions, 40(4) (2008) 367-384.
 M. Sabzehparvar, S. Seyed-Hosseini, S. Nouri, A mathematical model for the multi-mode resource investment problem, Journal of Industrial Engineering International, 4(7) (2008) 25-32.
 A.A. Najafi, F. Azimi, A priority rule-based heuristic for resource investment project scheduling problem with discounted cash flows and tardiness penalties, Mathematical Problems in Engineering, 2009 (2009).
 M. Ranjbar, F. Kianfar, S. Shadrokh, Solving the resource availability cost problem in project scheduling by path relinking and genetic algorithm, Applied Mathematics and Computation, 196(2) (2008) 879-888.
 A. Hattab, M. Haouari, Robust resource investment problem with time-dependent resource cost and tardiness penalty, in: Industrial Engineering and Engineering Management (IEEM), 2016 IEEE International Conference on, IEEE, 2016, pp. 1693-1698.
 O. Bellenguez, E. Néron, Lower bounds for the multi-skill project scheduling problem with hierarchical levels of skills, in: International Conference on the Practice and Theory of Automated Timetabling, Springer, 2004, pp. 229-243.
 O. Bellenguez-Morineau, Methods to solve multi-skill project scheduling problem, 4OR: A Quarterly Journal of Operations Research, 6(1) (2008) 85-88.
 C. Heimerl, R. Kolisch, Work assignment to and qualification of multi-skilled human resources under knowledge depreciation and company skill level targets, International Journal of Production Research, 48(13) (2010) 3759-3781.
 M. Walter, J. Zimmermann, Minimizing average project team size given multi-skilled workers with heterogeneous skill levels, Computers & Operations Research, 70 (2016) 163-179.
19] S.B. Othman, S. Hammadi, A. Quilliot, Multi-objective evolutionary for multi-skill health care tasks scheduling, IFAC-PapersOnLine, 48(3) (2015) 704-709.
 S. Javanmard, B. Afshar-Nadjafi, S.T.A. Niaki, Preemptive multi-skilled resource investment project scheduling problem: Mathematical modelling and solution approaches, Computers & Chemical Engineering, 96 (2017) 55-68.
 J. Xiao, X.-T. Ao, Y. Tang, Solving software project scheduling problems with ant colony optimization, Computers & Operations Research, 40(1) (2013) 33-46.
 G. Campos Ciro, F. Dugardin, F. Yalaoui, R. Kelly, Open shop scheduling problem with a multi-skills resource constraint: a genetic algorithm and an ant colony optimisation approach, International Journal of Production Research, 54(16) (2016) 4854-4881.
 Y.-C. Liang, A. Chen, W.-C. Kao, C.-C. Chyu, An ant colony approach to resource-constrained project scheduling problems, in: Proceedings of the fifth Asia Pacific industrial engineering and management systems conference, 2004, pp. 31.35.