33 citations to https://www.mathnet.ru/rus/at14336
  1. Pedro Yobanis Piñero Pérez, Iliana Pérez Pupo, Sadeq Saeed Mahdi, Julio Madera Quintana, Luis Alvarado Acuña, Studies in Computational Intelligence, 1134, Computational Intelligence in Engineering and Project Management, 2024, 131  crossref
  2. Yuan Yao, Vivian W.Y. Tam, Jun Wang, Khoa N. Le, Anthony Butera, “Automated construction scheduling using deep reinforcement learning with valid action sampling”, Automation in Construction, 166 (2024), 105622  crossref
  3. Aleksandr Voskresenskii, Mikhail Kovalchuk, Anastasiia Filatova, Denis Nasonov, Anna Lutsenko, “Hybrid Algorithm for Multi-Contractor, Multi-Resource Project Scheduling in the Industrial Field”, Procedia Computer Science, 229 (2023), 28  crossref
  4. Yongping Liu, Lizhen Huang, Xiufeng Liu, Guomin Ji, Xu Cheng, Erling Onstein, “A late-mover genetic algorithm for resource-constrained project-scheduling problems”, Information Sciences, 642 (2023), 119164  crossref
  5. Lin-Lin Xie, Yajiao Chen, Sisi Wu, Rui-Dong Chang, Yilong Han, “Knowledge extraction for solving resource-constrained project scheduling problem through decision tree”, ECAM, 2023  crossref
  6. Anastasiia Filatova, Mikhail Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna Kalyuzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis Nasonov, 2023 IEEE Congress on Evolutionary Computation (CEC), 2023, 1  crossref
  7. K. R. Srimathi, A. Padmarekha, K. S. Anandh, “Automated construction schedule optimisation using genetic algorithm”, Asian J Civ Eng, 24:8 (2023), 3521  crossref
  8. Yanfen Zhang, Jinyao Ma, Haibin Zhang, Bin Yue, “Platform Resource Scheduling Method Based on Branch-and-Bound and Genetic Algorithm”, Ann. Data. Sci., 10:5 (2023), 1421  crossref
  9. Golab A., Gooya E.S., Al Falou A., Cabon M., “Review of Conventional Metaheuristic Techniques For Resource-Constrained Project Scheduling Problem”, J. Proj. Manag., 7:2 (2022), 95–110  crossref  isi
  10. Е. Н. Гончаров, “Алгоритм локального поиска для задачи календарного планирования с ограниченными ресурсами”, Дискретн. анализ и исслед. опер., 29:4 (2022), 15–37  mathnet  crossref  mathscinet
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