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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:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 2018_EliseuGomes_Juan_IO2018_.pdf | 426,27 kB | Adobe PDF | Ver/Abrir |
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