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A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends

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posted on 2022-06-17, 06:04 authored by Chong Man Ngoo, Say Leng Goh, San Nah Sze, Nasser SabarNasser Sabar, Salwani Abdullah, Graham Kendall
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Funding

This work was supported by the Universiti Malaysia Sarawak under Grant F08/PARTNERS/2109/2021.

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    DOI - Is supplement to A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends

Publication Date

2022-06-02

Journal

IEEE Access

Volume

10

Article Number

56524

Pagination

21p.

Publisher

IEEE

ISSN

2169-3536

Rights Statement

This work is licensed under a Creative Commons Attribution 4.0 License, which permits unrestricted use, provided the original author and source are credited. For more information, see https://creativecommons.org/licenses/by/4.0/

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    Journal Articles

    Categories

    Keywords

    Combinatorial optimizationComputational intelligenceNurse rosteringNurse schedulingOperational research

    Licence

    CC BY 4.0

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