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Lima, M. M., Sousa, F., Öztürk, E. G., Rocha, P. F., Rodrigues, A. M., Ferreira, J. S....Oliveira, C. T. (2023). A resectorization of fire brigades in the north of Portugal. In Almeida, J. P., Geraldes, C. S., Lopes, I. C., Moniz, S., Oliveira, J. F., and Pinto, A. A. (Ed.), Operational Research. Springer Proceedings in Mathematics & Statistics . (pp. 87-101). Figueira da Foz, Portugal: Springer.

M. M. Lima et al.,  "A resectorization of fire brigades in the north of Portugal", in Operational Research. Springer Proc. in Mathematics & Statistics , Almeida, J. P., Geraldes, C. S., Lopes, I. C., Moniz, S., Oliveira, J. F., and Pinto, A. A., Ed., Figueira da Foz, Portugal, Springer, 2023, vol. 411, pp. 87-101

@inproceedings{lima2023_1715017230985,
	author = "Lima, M. M. and Sousa, F. and Öztürk, E. G. and Rocha, P. F. and Rodrigues, A. M. and Ferreira, J. S. and Nunes, A. C. and Lopes, I. C. and Oliveira, C. T.",
	title = "A resectorization of fire brigades in the north of Portugal",
	booktitle = "Operational Research. Springer Proceedings in Mathematics & Statistics ",
	year = "2023",
	editor = "Almeida, J. P., Geraldes, C. S., Lopes, I. C., Moniz, S., Oliveira, J. F., and Pinto, A. A.",
	volume = "411",
	number = "",
	series = "",
	doi = "10.1007/978-3-031-20788-4_6",
	pages = "87-101",
	publisher = "Springer",
	address = "Figueira da Foz, Portugal",
	organization = "Associação Portuguesa de Investigação Operacional",
	url = "https://link.springer.com/book/10.1007/978-3-031-20788-4"
}

TY  - CPAPER
TI  - A resectorization of fire brigades in the north of Portugal
T2  - Operational Research. Springer Proceedings in Mathematics & Statistics 
VL  - 411
AU  - Lima, M. M.
AU  - Sousa, F.
AU  - Öztürk, E. G.
AU  - Rocha, P. F.
AU  - Rodrigues, A. M.
AU  - Ferreira, J. S.
AU  - Nunes, A. C.
AU  - Lopes, I. C.
AU  - Oliveira, C. T.
PY  - 2023
SP  - 87-101
SN  - 2194-1009
DO  - 10.1007/978-3-031-20788-4_6
CY  - Figueira da Foz, Portugal
UR  - https://link.springer.com/book/10.1007/978-3-031-20788-4
AB  - Sectorization consists of grouping the basic units of a large territory to deal with a complex problem involving different criteria. Resectorization rearranges a current sectorization avoiding substantial changes, given a set of conditions. The paper considers the case of the distribution of geographic areas of fire brigades in the north of Portugal so that they can protect and rescue the population surrounding the fire stations. Starting from a current sectorization, assuming the geographic and population characteristics of the areas and the fire brigades’ response capacity, we provide an optimized resectorization considering two objectives: to reduce the rescue time by maximizing the compactness criterion, and to avoid overload situations by maximizing the equilibrium criterion. The solution method is based on the Non-dominated Sorting Genetic Algorithm (NSGA-II). Finally, computational results are presented and discussed.
ER  -