Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/27964
Author(s): Lima, M. M.
Sousa, F.
Öztürk, E. G.
Rocha, P. F.
Rodrigues, A. M.
Ferreira, J. S.
Nunes, A. C.
Lopes, I. C.
Oliveira, C. T.
Editor: Almeida, J. P., Geraldes, C. S., Lopes, I. C., Moniz, S., Oliveira, J. F., and Pinto, A. A.
Date: 2023
Title: A resectorization of fire brigades in the north of Portugal
Volume: 411
Book title/volume: Operational Research. Springer Proceedings in Mathematics & Statistics
Pages: 87 - 101
Event title: 21st Congress of APDIO, the Portuguese Operational Research Society, IO 2021
Reference: Lima, M. M., Sousa, F., Öztürk, E. G., Rocha, P. F., Rodrigues, A. M., Ferreira, J. S., Nunes, A. C., Lopes, I. C., & Oliveira, C. T. (2023). A resectorization of fire brigades in the north of Portugal. In J. P. Almeida, C. S. Geraldes, I. C. Lopes, S. Moniz, J. F. Oliveira, A. A. Pinto (Eds.) Operational Research. Springer Proceedings in Mathematics & Statistics (vol. 411, pp. 87-101). Springer. https://doi.org/10.1007/978-3-031-20788-4_6
ISSN: 2194-1009
ISBN: 978-3-031-20788-4
DOI (Digital Object Identifier): 10.1007/978-3-031-20788-4_6
Keywords: Sectorization
Resectorization
Fire brigades
Multi-objective problems
Abstract: 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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:DMQGE-CRN - Comunicações a conferências nacionais

Files in This Item:
File SizeFormat 
conferenceobject_94719.pdf2,13 MBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.