An efficient relax-and-solve method for the multi-mode resource constrained project scheduling problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05775-8.pdf
Reference73 articles.
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2. Afshar, M. R., Shahhosseini, V., & Sebt, M. H. (2022). A genetic algorithm with a new local search method for solving the multimode resource-constrained project scheduling problem. International Journal of Construction Management, 22(3), 357–365. https://doi.org/10.1080/15623599.2019.1623992
3. Ahmadian, M. M., & Salehipour, A. (2022). Heuristics for flights arrival scheduling at airports. International Transactions in Operational Research, 29(4), 2316–2345. https://doi.org/10.1111/itor.12901
4. Ahmadian, M. M., Salehipour, A., & Cheng, T. C. E. (2021). A meta-heuristic to solve the just-in-time job-shop scheduling problem. European Journal of Operational Research, 288(1), 14–29.
5. Alcaraz, J., Maroto, C., & Ruiz, R. (2003). Solving the multi-mode resource-constrained project scheduling problem with genetic algorithms. Journal of the Operational Research Society, 54(6), 614–626. https://doi.org/10.1057/palgrave.jors.2601563
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1. A matheuristic-oriented iterated greedy algorithm for multi-mode resource-constrained project scheduling problem under uncertainty;Computers & Industrial Engineering;2024-07
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