Optimizing Health Care Delivery System for Resource-Constrained Environment using Genetic Algorithm
dc.contributor.author | THARAFI, Khedidja | |
dc.contributor.author | KHAREF, Imane | |
dc.contributor.author | Hemmak, Allaoua: Reporter | |
dc.date.accessioned | 2024-07-03T10:36:29Z | |
dc.date.available | 2024-07-03T10:36:29Z | |
dc.date.issued | 2024-06-12 | |
dc.description.abstract | In this study, we addressed the issue of optimising healthcare delivery systems in resource- constrained environments using genetic algorithms. The algorithm was applied to solve the issue of resource allocation across different time periods at the lowest possible cost. The applied algorithm allowed us to achieve promising results. Although the obtained solution was not fully optimised, it was close to optimal within a limited time frame. | |
dc.identifier.uri | https://dspace.univ-msila.dz/handle/123456789/43131 | |
dc.language.iso | en | |
dc.publisher | Mohamed Boudiaf University of M’sila, Faculty of Mathematics and informatics, Department of informatics | |
dc.subject | Healthcare Delivery System optimization | |
dc.subject | Genetic Algorithms | |
dc.subject | Resource Al- location | |
dc.title | Optimizing Health Care Delivery System for Resource-Constrained Environment using Genetic Algorithm | |
dc.type | Thesis |