Filipe Alvelos, Isabel Martins, Susete Marques, Forest management with fire simulation (2024) submitted.

Filipe Alvelos, Marco Marto, André Mendes, Dispatching, positioning and routing resources for wildfire initial attack (2023) submitted.

Mendes, A. B., & Pereira e Alvelos, F. (2023). A Robust Optimisation Approach for the Placement of Wildland Fire Suppression Resources. submitted, Available at SSRN 4385923.

Matos, M. A., Gonçalves, R., Rocha, A. M. A., Costa, L. A., & Alvelos, F. (2024). Resource Dispatch Optimization for Firefighting Using a Differential Evolution Algorithm. In International Conference on Optimization, Learning Algorithms and Applications (pp. 63-77). Springer, Cham.

Matos, M.A., Gonçalves, R., Rocha, A.M.A.C., Costa, L.A. and Alvelos, F. A constructive heuristic for optimizing the firefighting resource dispatch problem. submitted (2023). Optimization, Learning Algorithms and Applications (pp. 63-77). Springer, Cham.

Mendes, A. B., & Alvelos, F. P. (2023). Iterated local search for the placement of wildland fire suppression resources. European Journal of Operational Research, 304(3), 887-900.

Martins, I., Alvelos, F., Cerveira, A., Kašpar, J., & Marušák, R. (2023). Solving a harvest scheduling optimization problem with constraints on clearcut area and clearcut proximity. International Transactions in Operational Research, 30(6), 3930-3948.

Alvelos, F., Moura, S., Vieira, A., & Bento-Gonçalves, A. (2023). A Bi objective Optimization Approach for Wildfire Detection. In International Conference on Computational Science and Its Applications (pp. 425 436). Cham: Springer Nature Switzerland.

Matos, M. A., Rocha, A. M. A., Costa, L. A., & Alvelos, F. (2023). Resource dispatch optimization for firefighting based on genetic algorithm. In International Conference on Computational Science and Its Applications (pp. 437-453). Cham: Springer Nature Switzerland.

Santos, C., Xambre, A. R., Hall, A., Alvelos, H., Marques, S., Martins, I., & Alvelos, F. (2023). Modelling Forest Fire Spread Through Discrete Event Simulation. In Operational Research, IO 2022—OR in Turbulent Times: Adaptation and Resilience. XXII Congress of APDIO, University of Évora, Portugal, November 6–8, 2022, João Paulo Almeida, Filipe Pereira e Alvelos, Jorge Orestes Cerdeira, Samuel Moniz, Cristina Requejo (editors), Springer Proceedings in Mathematics & Statistics, (pp. 209-226)

Azevedo, B.F., Alvelos, F., Rocha, A.M.A.C., Brito, T., Lima, J., Pereira, A.I. (2023). An Integer Programming Approach for Sensor Location in a Forest Fire Monitoring System. In: Almeida, J.P., Geraldes, C.S., Lopes, I.C., Moniz, S., Oliveira, J.F., Pinto, A.A. (eds) Operational Research. IO 2021. Springer Proceedings in Mathematics & Statistics, vol 411. Springer, Cham.

Silva, J., Marques, J., Gonçalves, I., Brito, R., Teixeira, S., Teixeira, J., & Alvelos, F. (2022). A systematic review and bibliometric analysis of wildland fire behavior modeling. Fluids, 7(12), 374.

Inês Gonçalves, João Marques, João Silva, José Teixeira, Filipe Alvelos, Senhorinha Teixeira, Influence of temperature on air runoff in the propagation of a forest fire, XV Congreso Iberoamericano de Ingeniería Mecánica XV Congresso Ibero-americano de Engenharia Mecânica Madrid, España, 22-24 de noviembre de 2022.

Matos, M.A., Rocha, A.M.A.C., Costa, L.A., Alvelos, F. (2022). A Genetic Algorithm for Forest Firefighting Optimization. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13378. Springer, Cham.

Gonçalves, I, Marques, J, Silva, JP, Teixeira, JC, Alvelos, F, Tavares, T, & Teixeira, S., Development of CFD Model to Study the Spread of Wildfires. Proceedings of the ASME 2022 International Mechanical Engineering Congress and Exposition. Volume 8: Fluids Engineering; Heat Transfer and Thermal Engineering. Columbus, Ohio, USA. October 30–November 3, 2022. V008T11A026. ASME.

Alvelos, F., Martins, I., Marques, S., Dias, M., Cunha, E., Neto, D., Optimization with fire spread simulation for forest management, Advances in Forest Fire Research 2022, D. X. Viegas & L.M. Ribeiro (Ed.), 309-314.

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