Bakker, H., Govindakarnavar, A., Krishnakumari, P. K., Gromicho, J., Côté, F. L., Lahrichi, N., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Naidoo, D., Samuel, R., & del Rio Vilas, V. (2024). Coordination strategies to improve COVID-19 PCR laboratory testing scale up in Nepal: An analysis. PLoS ONE, 19(12), Article e0314746. https://doi.org/10.1371/journal.pone.0314746[details]
Krishnakumari, P. K., Bakker, H., Lahrichi, N., Côté, F. L., Gromicho, J., Govindakarnavar, A., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Samuel, R., Naidoo, D., & Del Rio Vilas, V. (2024). Assessment of geographical accessibility to COVID-19 testing facilities in Nepal (2021). The Lancet Regional Health - Southeast Asia, 27, Article 100436. https://doi.org/10.1016/j.lansea.2024.100436[details]
Butterwick, T., Kheiri, A., Lulli, G., Gromicho, J., & Kreeft, J. (2023). Application of selection hyper-heuristics to the simultaneous optimisation of turbines and cabling within an offshore windfarm. Renewable Energy, 208, 1-16. https://doi.org/10.1016/j.renene.2023.03.075[details]
Kool, W., van Hoof, H., Gromicho, J., & Welling, M. (2022). Deep Policy Dynamic Programming for Vehicle Routing Problems. In P. Schaus (Ed.), Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022 : proceedings (pp. 190–213). (Lecture Notes in Computer Science; Vol. 13292). Springer. https://doi.org/10.48550/arXiv.2102.11756, https://doi.org/10.1007/978-3-031-08011-1_14[details]
Kheiri, A., Dragomir, A. G., Mueller, D., Gromicho, J., Jagtenberg, C., & van Hoorn, J. J. (2019). Tackling a VRP challenge to redistribute scarce equipment within time windows using metaheuristic algorithms. EURO Journal on Transportation and Logistics, 8(5), 561-595. https://doi.org/10.1007/s13676-019-00143-8
2012
Gromicho, J., Van Hoorn, J. J., Kok, A. L., & Schutten, J. M. J. (2012). Restricted dynamic programming: A flexible framework for solving realistic VRPs. Computers and Operations Research, 39(5), 902-909. https://doi.org/10.1016/j.cor.2011.07.002
2025
Postek, K., Zocca, A., Gromicho, J. A. S., & Kantor, J. C. (2025). Hands-On Mathematical Optimization with Python. Cambridge University Press. https://doi.org/10.1017/9781009493512[details]
2022
Kool, W. (2022). Learning and optimization in combinatorial spaces: With a focus on deep learning for vehicle routing. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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