A parallel greedy approach enhanced by genetic algorithm for the stochastic rig routing problem
Author:
Funder
Russian Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Business, Management and Accounting (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11590-023-01986-x.pdf
Reference24 articles.
1. Abdelatti, M., Hendawi, A., Sodhi, M.: Optimizing a GPU-accelerated genetic algorithm for the vehicle routing problem. In: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 117–118 (2021). https://doi.org/10.1145/3449726.3459458
2. Abdelatti, M., Sodhi, M., Sendag, R.: A Multi-GPU Parallel Genetic Algorithm For Large-Scale Vehicle Routing Problems. In: 2022 IEEE High Performance Extreme Computing Conference (HPEC), pp. 1–8. IEEE (2022). https://doi.org/10.1109/HPEC55821.2022.9926363
3. Archetti, C., Speranza, M.G.: Vehicle routing problems with split deliveries. Int. Trans. Oper. Res. 19(1–2), 3–22 (2012). https://doi.org/10.1111/j.1475-3995.2011.00811.x
4. Bassi, H.V., Ferreira Filho, V.J.M., Bahiense, L.: Planning and scheduling a fleet of rigs using simulation–optimization. Comp. Ind. Eng 63(4), 1074–1088 (2012). https://doi.org/10.1016/j.cie.2012.08.001
5. Berhan, E., Beshah, B., Kitaw, D.: Stochastic vehicle routing problem: a literature survey. J. Inf. Knowl. Manag. 13(3), 1450022 (2014). https://doi.org/10.1142/S0219649214500221
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