33 citations to https://www.mathnet.ru/rus/at14336
-
L. Xie, Ya. Chen, R. Chang, “Scheduling optimization of prefabricated construction projects by genetic algorithm”, Appl. Sci.-Basel, 11:12 (2021), 5531
-
Sönke Hartmann, Application of Mathematics and Optimization in Construction Project Management, 2021, 25
-
R. Pellerin, N. Perrier, F. Berthaut, “A survey of hybrid metaheuristics for the resource-constrained project scheduling problem”, Eur. J. Oper. Res., 280:2-3 (2020), 395–416
-
A. Sh. Chaleshtarti, Sh. Shadrokh, M. Khakifirooz, M. Fathi, P. M. Pardalos, “A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources”, Appl. Soft. Comput., 94 (2020), 106482
-
K. M. Sallam, R. K. Chakrabortty, M. J. Ryan, “A two-stage multi-operator differential evolution algorithm for solving resource constrained project scheduling problems”, Futur. Gener. Comp. Syst., 108 (2020), 432–444
-
Viacheslav Frolov, Olga Prikhodko, Sergey Slipchenko, “Calculation of the energy-efficient cutting modes in turning operation”, Energy Systems, 5:1 (2020), 228
-
A S Antonova, K A Aksyonov, “Analysis of the methods for accounting the renewable and non-renewable resources in scheduling”, J. Phys.: Conf. Ser., 1694:1 (2020), 012005
-
Ch. Jiang, X. Hu, J. Xi, “Integrated multi-project scheduling and hierarchical workforce allocation in the eto assembly process”, Appl. Sci.-Basel, 9:5 (2019), 885
-
Zh. You, Ch. Wu, “A framework for data-driven informatization of the construction company”, Adv. Eng. Inform., 39 (2019), 269–277
-
Xun Wang, Yao P., Zhang J., Wan Lujun, Jiao Zh., “Dynamic resource scheduling for C2 organizations based on multi-objective optimization”, IEEE Access, 7 (2019), 64614–64626