Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/75312
Título: A biased-randomized heuristic for the home healthcare routing problem
Autor: Eliseu, Manuel
Gomes, M. Isabel
Juan, Angel A.
Palavras-chave: Biased-randomized heuristic
Home healthcare
Real case instances
Vehicle routing problem with time windows
Mathematics(all)
Data: 1-Jan-2018
Editora: Springer New York LLC
Resumo: The home healthcare routing problem (HHRP) refers to the problem of allocating and routing caregivers to care-dependent people at their homes. It has been mostly tackled in the literature as a rich vehicle routing problem with time windows. This paper proposes a biased-randomized heuristic, based on the well-known savings heuristic, to solve the HHRP. The algorithm is tested in small but real-case instances where patients’ visits may occur more than once a day and, in such cases, all the visits have to be performed by the same caregiver. The results show the algorithm provides good quality results in reasonably low computing times.
Descrição: 
Peer review: yes
URI: http://www.scopus.com/inward/record.url?scp=85042539203&partnerID=8YFLogxK
DOI: https://doi.org/10.1007/978-3-319-71583-4_5
ISBN: 978-3-319-71582-7
978-3-319-71583-4
Aparece nas colecções:Home collection (FCT)

Ficheiros deste registo:
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2018_EliseuGomes_Juan_IO2018_.pdf426,27 kBAdobe PDFVer/Abrir


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