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<p>The contemporary challenge of population aging in many societies necessitates innovative solutions for providing efficient and cost-effective healthcare services, particularly for elderly and terminally ill patients, such as those in the end stages of cancer. This research introduces a two-objective mathematical model designed for a one-day planning horizon to enhance patient satisfaction while concurrently reducing healthcare system costs. This study evaluates optimal solutions by implementing the model on various test problems using the ϵ-constraint method, Multi-Objective Adaptive Large Neighborhood Search (MOALNS), and Non-dominated Sorting Genetic Algorithm II (NSGA-II). Moreover, for large-scale test problems, the efficacy of the meta-heuristic approaches is validated. Results indicate that the MOALNS outperforms the NSGA-II algorithm in terms of Pareto solutions diversity and execution time. The set of non-dominated solutions obtained from this study holds significant value for home care centers, particularly benefiting institutions such as the Iranian Cancer Prevention and Control Center.</p>

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Scheduling home care providers for enhanced patient experience and cost reduction: A Meta-Heuristic optimization approach

  • 期刊论文

  • 发表日期：

    2026年2月17日

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  • Hajar Shirneshan,
  • Alireza Goli

摘要

The contemporary challenge of population aging in many societies necessitates innovative solutions for providing efficient and cost-effective healthcare services, particularly for elderly and terminally ill patients, such as those in the end stages of cancer. This research introduces a two-objective mathematical model designed for a one-day planning horizon to enhance patient satisfaction while concurrently reducing healthcare system costs. This study evaluates optimal solutions by implementing the model on various test problems using the ϵ-constraint method, Multi-Objective Adaptive Large Neighborhood Search (MOALNS), and Non-dominated Sorting Genetic Algorithm II (NSGA-II). Moreover, for large-scale test problems, the efficacy of the meta-heuristic approaches is validated. Results indicate that the MOALNS outperforms the NSGA-II algorithm in terms of Pareto solutions diversity and execution time. The set of non-dominated solutions obtained from this study holds significant value for home care centers, particularly benefiting institutions such as the Iranian Cancer Prevention and Control Center.