An intelligent optimization strategy for medical doctor rostering using hybrid genetic algorithm-particle swarm optimization in Malaysian public hospital

An intelligent optimization strategy for medical doctor rostering using hybrid genetic algorithm-particle swarm optimization in Malaysian public hospital

Comparing manual rostering to automated rostering reveals that manual rostering is typically more challenging, time-consuming, and exhausting for doctors, particularly due to shifting business regulations, a shortage of healthcare professionals, and heavy workloads. During rostering, it is essential...

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Bibliographic Details
Main Authors: Zanariah, Zainudin, Shafaatunnur, Hasan, Nurfazrina, Mohd Zamry, Nor‘Afifah, Sabri, Nurul Syafidah, Jamil, Norliana, Muslim, Nur Amalina, Mat Jan, Noraini, Ibrahim
Format: Article
Language:English
Published: Penerbit UTM Press 2025
Subjects:
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/44033/
http://umpir.ump.edu.my/id/eprint/44033/1/An%20intelligent%20optimization%20strategy%20for%20medical%20doctor.pdf

Internet

http://umpir.ump.edu.my/id/eprint/44033/
http://umpir.ump.edu.my/id/eprint/44033/1/An%20intelligent%20optimization%20strategy%20for%20medical%20doctor.pdf

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