Anesthesiology Nurse Scheduling using Particle Swarm Optimization
In this article we present an approach designed to solve a real world problem: the Anesthesiology Nurse Scheduling Problem (ANSP) at a public French hospital. The anesthesiology nurses are one of the most shared resources in the hospital and we attempt to find a fair/balanced schedule for them, taki...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2012-02-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25867962.pdf |
| _version_ | 1811300820800503808 |
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| author | Leopoldo Altamirano María Cristina Riff Ignacio Araya Lorraine Trilling |
| author_facet | Leopoldo Altamirano María Cristina Riff Ignacio Araya Lorraine Trilling |
| author_sort | Leopoldo Altamirano |
| collection | DOAJ |
| description | In this article we present an approach designed to solve a real world problem: the Anesthesiology Nurse Scheduling Problem (ANSP) at a public French hospital. The anesthesiology nurses are one of the most shared resources in the hospital and we attempt to find a fair/balanced schedule for them, taking into account a set of constraints and the nurses’ stated preferences, concerning the different shifts. We propose a particle swarm optimization algorithm to solve the ANSP. Finally, we compare our technique with previous results obtained using integer programming. |
| first_indexed | 2024-04-13T06:57:04Z |
| format | Article |
| id | doaj.art-83275d658319486d9b15df8868b089db |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-13T06:57:04Z |
| publishDate | 2012-02-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-83275d658319486d9b15df8868b089db2022-12-22T02:57:13ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832012-02-015110.1080/18756891.2012.670525Anesthesiology Nurse Scheduling using Particle Swarm OptimizationLeopoldo AltamiranoMaría Cristina RiffIgnacio ArayaLorraine TrillingIn this article we present an approach designed to solve a real world problem: the Anesthesiology Nurse Scheduling Problem (ANSP) at a public French hospital. The anesthesiology nurses are one of the most shared resources in the hospital and we attempt to find a fair/balanced schedule for them, taking into account a set of constraints and the nurses’ stated preferences, concerning the different shifts. We propose a particle swarm optimization algorithm to solve the ANSP. Finally, we compare our technique with previous results obtained using integer programming.https://www.atlantis-press.com/article/25867962.pdfArtificial IntelligenceHeuristic SearchParticle Swarm OptimizationNurse Scheduling |
| spellingShingle | Leopoldo Altamirano María Cristina Riff Ignacio Araya Lorraine Trilling Anesthesiology Nurse Scheduling using Particle Swarm Optimization International Journal of Computational Intelligence Systems Artificial Intelligence Heuristic Search Particle Swarm Optimization Nurse Scheduling |
| title | Anesthesiology Nurse Scheduling using Particle Swarm Optimization |
| title_full | Anesthesiology Nurse Scheduling using Particle Swarm Optimization |
| title_fullStr | Anesthesiology Nurse Scheduling using Particle Swarm Optimization |
| title_full_unstemmed | Anesthesiology Nurse Scheduling using Particle Swarm Optimization |
| title_short | Anesthesiology Nurse Scheduling using Particle Swarm Optimization |
| title_sort | anesthesiology nurse scheduling using particle swarm optimization |
| topic | Artificial Intelligence Heuristic Search Particle Swarm Optimization Nurse Scheduling |
| url | https://www.atlantis-press.com/article/25867962.pdf |
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