An Artificial Bee Colony Algorithm for the Home Health Care Planning Problem

The Home Health Care Planning Problem entails optimizing the routes of healthcare providers to deliver services to patients in their homes, in order to maximize the overall benefits obtained while taking into various factors including workload, patient requirements, scheduling slots, and available resources. This paper proposes an artificial Bee Colony algorithm adapted to solve the home health care planning problem. The artificial Bee Colony algorithm, based on honey bee foraging behavior, is suitable for optimization problems. Our goal is to use metaheuristic techniques to create a tool that solves the home care planning problem and provides a set of feasible solutions Our work has led to the design of an application for healthcare professionals using the metaheuristic method. The computational results on real datasets and the literature instance indicate that our proposed algorithm is efficacy and efficient.

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Published
2024-11-03
DOI
https://doi.org/10.1109/afros62115.2024.11036728
Primary Topic
Scheduling and Timetabling Solutions
Type
article
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article

An Artificial Bee Colony Algorithm for the Home Health Care Planning Problem

Khaled Belkadi, BOUATOUCHE Mourad, BELHACHEMI Leila, BENDIDA Maroua
Scheduling and Timetabling Solutions
article

An Artificial Bee Colony Algorithm for the Home Health Care Planning Problem

Khaled Belkadi, BOUATOUCHE Mourad, BELHACHEMI Leila, BENDIDA Maroua
article en

Abstract

The Home Health Care Planning Problem entails optimizing the routes of healthcare providers to deliver services to patients in their homes, in order to maximize the overall benefits obtained while taking into various factors including workload, patient requirements, scheduling slots, and available resources. This paper proposes an artificial Bee Colony algorithm adapted to solve the home health care planning problem. The artificial Bee Colony algorithm, based on honey bee foraging behavior, is suitable for optimization problems. Our goal is to use metaheuristic techniques to create a tool that solves the home care planning problem and provides a set of feasible solutions Our work has led to the design of an application for healthcare professionals using the metaheuristic method. The computational results on real datasets and the literature instance indicate that our proposed algorithm is efficacy and efficient.

Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf (DZ), Ahmed Zabana University - Relizane (DZ)
Openalex Percentile: Top 64%
Scheduling and Timetabling Solutions
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An Artificial Bee Colony Algorithm for the Home Health Care Planning Problem — Khaled Belkadi, BOUATOUCHE Mourad, et al. · (2024) | TGRS Research Map | TGRS