Masmoudi, Mohamed Amine, Hosny, Manar, Demir, Emrah ![]() ![]() |
Preview |
PDF
- Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
Abstract
In the context of home healthcare services, patients may need to be visited multiple times by different healthcare specialists who may use a fleet of heterogeneous vehicles. In addition, some of these visits may need to be synchronized with each other for performing a treatment at the same time. We call this problem the Heterogeneous Fleet Vehicle Routing Problem with Synchronized visits (HF-VRPS). It consists of planning a set of routes for a set of light duty vehicles running on alternative fuels. We propose three population-based hybrid Artificial Bee Colony metaheuristic algorithms for the HF-VRPS. These algorithms are tested on newly generated instances and on a set of homogeneous VRPS instances from the literature. Besides producing quality solutions, our experimental results illustrate the trade-offs between important factors, such as CO2 emissions and driver wage. The computational results also demonstrate the advantages of adopting a heterogeneous fleet rather than a homogeneous one for the use in home healthcare services.
Item Type: | Article |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Publisher: | Elsevier |
ISSN: | 1361-9209 |
Date of First Compliant Deposit: | 30 April 2018 |
Date of Acceptance: | 30 April 2018 |
Last Modified: | 06 Nov 2023 19:25 |
URI: | https://orca.cardiff.ac.uk/id/eprint/111079 |
Citation Data
Cited 19 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |