Optimization of Nursing Care Resource Allocation in an Aging Population Based on Combinatorial Optimization Algorithm
Author:
Affiliation:
1. 1 School of Public Finance and Administration , Harbin University of Commerce , Harbin, Heilongjiang, 150028 , China .
2. 2 School of Economics and Management , Harbin Normal University , Harbin, Heilongjiang, 150025 , China .
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/amns.2023.2.00823
Reference19 articles.
1. Macdonald, P. (2017). Optimization methods for resource allocation. Journal of the Operational Research Society.
2. Y Sulimani‐Aidan. (2019). Qualitative exploration of supporting figures in the lives of emerging adults who left care compared with their noncare‐leaving peers. Child & Family Social Work.
3. Xu, L., & Zhang, Y. (2021). A quality function deployment–based resource allocation approach for elderly care service: perspective of government procurement of public service. International Social Work.
4. Fathollahi-Fard, A. M., Ahmadi, A., & Karimi, B. (2021). Multi-objective optimization of home healthcare with working-time balancing and care continuity. Sustainability, 13.
5. Eberl, A. (2019). The effect of informal caregiving on social capital investments. Social Science Research, 85.
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