References
- Agarwal, A., S. Colak, and S. Erenguc. 2011. “A Neurogenetic Approach for the Resource-Constrained Project Scheduling Problem.” Computers & Operations Research 38 (1): 44–50. doi:https://doi.org/10.1016/j.cor.2010.01.007.
- Ahlemann, F., F. E. Arbi, M. G. Kaiser, and A. Heck. 2013. “A Process Framework for Theoretically Grounded Prescriptive Research in the Project Management Field.” International Journal of Project Management 31 (1): 43–56. doi:https://doi.org/10.1016/j.ijproman.2012.03.008.
- Alcaraz, J., and C. Maroto. 2001. “A Robust Genetic Algorithm for Resource Allocation in Project Scheduling.” Annals of Operation Research 102 (1–4): 83–109. doi:https://doi.org/10.1023/A:1010949931021.
- Alcaraz, J., C. Maroto, and R. Ruiz. 2003. “Solving the Multi-Mode Resource-Constrained Project Scheduling Problem with Genetic Algorithms.” Journal of the Operational Research Society 54 (6): 614–626. doi:https://doi.org/10.1057/palgrave.jors.2601563.
- Asta, S., D. Karapetyan, A. Kheiri, E. Ozcan, and A. J. Parkes. 2016. “Combining Monte-Carlo and Hyper-Heuristic Methods for the Multi-Mode Resource-Constrained Multi-Project Scheduling Problem.” Information Sciences 373 (10): 476–498. doi:https://doi.org/10.1016/j.ins.2016.09.010.
- Beşikci, U., Ü. Bilge, and G. Ulusoy. 2013. “Resource Dedication Problem in a Multi-Project Environment.” Flexible Services and Manufacturing Journal 25 (1–2): 206–229. doi:https://doi.org/10.1007/s10696-012-9140-9.
- Beşikci, U., U. Bilge, and G. Ulusoy. 2015. “Multi-Mode Resource Constrained Multi-Project Scheduling and Resource Portfolio Problem.” European Journal of Operational Research 240 (1): 22–31. doi:https://doi.org/10.1016/j.ejor.2014.06.025.
- Browning, T. R., and A. A. Yassine. 2010. “Resource-Constrained Multi-Project Scheduling: Priority Rule Performance Revisited.” International Journal of Production Economic 126 (2): 212–228. doi:https://doi.org/10.1016/j.ijpe.2010.03.009.
- Buddhakulsomsiri, J., and D. S. Kim. 2007. “Priority Rule-based Heuristic for Multi-Mode Resource-Constrained Project Scheduling Problems with Resource Vacations and Activity Splitting.” European Journal of Operational Research 178 (2): 374–390. doi:https://doi.org/10.1016/j.ejor.2006.02.010.
- Chakrabortty, R. K., A. Abbasi, and M. J. Ryan. 2020. “Multi‐Mode Resource‐Constrained Project Scheduling Using Modified Variable Neighborhood Search Heuristic.” International Transactions in Operational Research 27 (1): 138–167. doi:https://doi.org/10.1111/itor.12644.
- Chen, R. M. 2011. “Particle Swarm Optimization with Justification and Designed Mechanisms for Resource-Constrained Project Scheduling Problem.” Expert Systems with Applications 38 (6): 7102–7111. doi:https://doi.org/10.1016/j.eswa.2010.12.059.
- Damak, N., B. Jarboui, P. Siarry, and T. Loukil. 2009. “Differential Evolution for Solving Multi-Mode Resource-Constrained Project Scheduling Problems.” Computers & Operations Research 36 (9): 2653–2659. doi:https://doi.org/10.1016/j.cor.2008.11.010.
- Geiger, M. J. 2017. “A Multi-Threaded Local Search Algorithm and Computer Implementation for the Multi-Mode, Resource-Constrained Multi-Project Scheduling Problem.” European Journal of Operational Research 256 (3): 729–741. doi:https://doi.org/10.1016/j.ejor.2016.07.024.
- Goncalves, J. F., J. J. M. Mendes, and M. G. C. Resende. 2008. “A Genetic Algorithm for the Resource Constrained Multi-Project Scheduling Problem.” European Journal of Operational Research 189 (3): 1171–1190. doi:https://doi.org/10.1016/j.ejor.2006.06.074.
- Grefenstette, J. J. 1986. “Optimization of Control Parameters for Genetic Algorithms.” IEEE Transactions on Systems, Man, and Cybernetics 16 (1): 122–128. doi:https://doi.org/10.1109/TSMC.1986.289288.
- Hartmann, S. 1998. “A Competitive Genetic Algorithm for Resource-Constrained Project Scheduling.” Naval Research Logistics 45 (7): 733–750. doi:https://doi.org/10.1002/(SICI)1520-6750(199810)45:7<733::AID-NAV5>3.0.CO;2-C.
- Herroelen, W., and B. De Reyck. 1999. “Phase Transitions in Project Scheduling.” Journal of the Operational Research Society 50 (2): 148–156. doi:https://doi.org/10.2307/3010563.
- Jarboui, B., N. Damak, P. Siarry, and A. Rebai. 2008. “A Combinatorial Particle Swarm Optimization for Solving Multi-Mode Resource-Constrained Project Scheduling Problems.” Applied Mathematics and Computation 195 (1): 299–308. doi:https://doi.org/10.1016/j.amc.2007.04.096.
- Kim, K.W., Y. S. Yun, J. M. Yoon, M. Gen, and G. Yamazaki. 2005. “Hybrid Genetic Algorithm with Adaptive Abilities for Resource-Constrained Multiple Project Scheduling.” Computers in Industry 56 (2): 143–160. doi:https://doi.org/10.1016/j.compind.2004.06.006.
- Kolisch, R. 1996. “Serial and Parallel Resource-Constrained Project Scheduling Methods Revisited: Theory and Computation.” European Journal of Operational Research 90 (2): 320–333. doi:https://doi.org/10.1016/0377-2217(95)00357-6.
- Kolisch, R., and A. Sprecher. 1996. “PSPLIB-A Project Scheduling Problem Library.” European Journal of Operational Research 96 (1): 205–216. doi:https://doi.org/10.1016/S0377-2217(96)00170-1.
- Kolisch, R., A. Sprecher, and A. Drexl. 1995. “Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems.” Management Science 41 (10): 1693–1703. doi:https://doi.org/10.1287/mnsc.41.10.1693.
- Kolisch, R., and R. Padman. 2001. “An Integrated Survey of Deterministic Project Scheduling.” Omega 29 (3): 249–272. doi:https://doi.org/10.1016/S0305-0483(00)00046-3.
- Kolisch, R., and S. Hartmann. 2006. “Experimental Investigation of Heuristics for Resource-Constrained Project Scheduling: An Update.” European Journal of Operational Research 174 (1): 23–37. doi:https://doi.org/10.1016/j.ejor.2005.01.065.
- Kumanan, S., G. J. Jose, and K. Raja. 2006. “Multi-Project Scheduling Using a Heuristic and a Genetic Algorithm.” The International Journal of Advanced Manufacturing Technology 31 (3–4): 360–366. doi:https://doi.org/10.1007/s00170-005-0199-2.
- Lova, A., P. Tormos, M. Cervantes, and F. Barber. 2009. “An Efficient Hybrid Genetic Algorithm for Scheduling Projects with Resource Constraints and Multiple Execution Modes.” International Journal of Production Economics 117 (2): 302–316. doi:https://doi.org/10.1016/j.ijpe.2008.11.002.
- Mario, V., D. Erik, and H. Willy. 2002. “Discrete Time/Cost Trade-Offs in Project Scheduling with Time-Switch Constraints.” Journal of the Operational Research Society 53: 741–751. doi:https://doi.org/10.1057/palgrave.jors.2601351.
- Mendes, J. J. M., J. F. Goncalves, and M. G. C. Resende. 2009. “A Random Key Based Genetic Algorithm for the Resource Constrained Project Scheduling Problem.” Computers & Operations Research 36 (1): 92–109. doi:https://doi.org/10.1016/j.cor.2007.07.001.
- Montoya-Torres, J.R., E. Gutierrez-Franco, and C. Pirachican-Mayorga. 2010. “Project Scheduling with Limited Resources Using a Genetic Algorithm.” International Journal of Project Management 28 (6): 612–628. doi:https://doi.org/10.1016/j.ijproman.2009.10.003.
- Muritiba, A. E. F., C. D. Rodrigues, and F. A. Da Costa. 2018. “A Path-Relinking Algorithm for the Multi-Mode Resource-Constrained Project Scheduling Problem.” Computers & Operations Research 92: 145–154. doi:https://doi.org/10.1016/j.cor.2018.01.001.
- Paraskevopoulos, D. C., C. D. Tarantilis, and G. Ioannou. 2012. “Solving Project Scheduling Problems with Resource Constraints via an Event List-based Evolutionary Algorithm.” Expert Systems with Applications 39 (4): 3983–3994. doi:https://doi.org/10.1016/j.eswa.2011.09.062.
- Peteghem, V. V., and M. Vanhoucke. 2010. “A Genetic Algorithm for the Preemptive and Non-Preemptive Multi-Mode Resource-Constrained Project Scheduling Problem.” European Journal of Operational Research 201 (2): 409–418. doi:https://doi.org/10.1016/j.ejor.2009.03.034.
- Shi, J. J., H. Li, and H. Zhang. 2005. “Two Resource Dispatching Rules for Modeling Human Decisions in Simulation.” International Journal of Project Management 23 (2): 97–107. doi:https://doi.org/10.1016/j.ijproman.2004.07.007.
- Shukla, S. K., Y. J. Son, and M. K. Tiwari. 2008. “Fuzzy-based Adaptive Sample-Sort Simulated Annealing for Resource-Constrained Project Scheduling.” The International Journal of Advanced Manufacturing Technology 36 (9–10): 982–995. doi:https://doi.org/10.1007/s00170-006-0907-6.
- Speranza, M. G., and C. Vercellis. 1993. “Hierarchical Models for Multi-Project Planning and Scheduling.” European Journal of Operational Research 64 (2): 312–325. doi:https://doi.org/10.1016/0377-2217(93)90185-P.
- Stefan, V., and W. Andreas. 2007. “Hybrid Flow Shop Scheduling as A Multi-Mode Multi-Project Scheduling Problem with Batching Requirements: A Real-World Application.” International Journal of Production Economics 105 (2): 445–458. doi:https://doi.org/10.1016/j.ijpe.2004.05.029.
- Toffolo, T. A. M., H. G. Santos, T. A. M. Carvalho, and J. A. Soares. 2016. “An Integer Programming Approach to the Multimode Resource-Constrained Multiproject Scheduling Problem.” Journal of Scheduling 19: 295–307. doi:https://doi.org/10.1007/s10951-015-0422-4.
- Tony, W., V. Katja, B. Greet-Vanden, and C. Patrick-De. 2011. “Learning Agents for the Multi-mode Project Scheduling Problem.” Journal of the Operational Research Society 62: 281–290. doi:https://doi.org/10.1057/jors.2010.101.
- Valls, V., F. Ballestin, and S. Quintanilla. 2008. “A Hybrid Genetic Algorithm for the Resource-Constrained Project Scheduling Problem.” European Journal of Operational Research 185 (2): 495–508. doi:https://doi.org/10.1016/j.ejor.2006.12.033.
- Wauters, T., J. Kinable, P. Smet, W. Vancroonenburg, G. V. Berghe, and J. Verstichel. 2015a. “The Multi-Mode Resource-Constrained Multi-Project Scheduling Problem.” Journal of Scheduling 19: 271–283. doi:https://doi.org/10.1007/s10951-014-0402-0.
- Wauters, T., K. Verbeeck, P. D. Causmaecker, and G. V. Berghe. 2015b. “A Learning-based Optimization Approach to Multi-Project Scheduling.” Journal of Scheduling 18 (1): 61–74. doi:https://doi.org/10.1007/s10951-014-0401-1.
- Willy, H., and L. Roel. 2005. “Identification and Illumination of Popular Misconceptions about Project Scheduling and Time Buffering in a Resource-Constrained Environment.” Journal of the Operational Research Society 56: 102–109. doi:https://doi.org/10.1057/palgrave.jors.2601813.
- Wuliang, P., and W. Chengen. 2009. “A Multi-Mode Resource-Constrained Discrete Time-Cost Tradeoff Problem and Its Genetic Algorithm Based Solution.” International Journal of Project Management 27 (6): 600–609. doi:https://doi.org/10.1016/j.ijproman.2008.10.009.
- Xu, J., and C. Feng. 2014. “Multimode Resource-Constrained Multiple Project Scheduling Problem under Fuzzy Random Environment and Its Application to a Large Scale Hydropower Construction Project.” The Scientific World Journal 463692. doi:https://doi.org/10.1155/2014/463692.
- Xu, J., H. Zheng, Z. Zeng, S. Wu, and M. Shen. 2012. “Discrete Time–Cost–Environment Trade-Off Problem for Large-Scale Construction Systems with Multiple Modes under Fuzzy Uncertainty and Its Application to Jinping-II Hydroelectric Project.” International Journal of Project Management 30 (8): 960–966. doi:https://doi.org/10.1016/j.ijproman.2012.01.019.
- Zaman, F., S. Elsayed, R. Sarker, and D. Essam. 2020. “Hybrid Evolutionary Algorithm for Large-Scale Project Scheduling Problems.” Computers & Industrial Engineering 146: 106567. doi:https://doi.org/10.1016/j.cie.2020.106567.