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Grey Wolf Optimizer for the Nurse Rostering Problem

This paper proposes a novel discrete version of Grey Wolf Optimizer (GWO) in addressing selected Second International Nurse Rostering Competition (INRC-II) problem instances. The position-updating mechanism in the original GWO is replaced with mutation and crossover operators. Experiments are carrie...

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書誌詳細
主要な著者:	Ngoo, Chong Man, Goh, Say Leng, Jonathan Likoh Juis @ Juise
フォーマット:	Conference or Workshop Item
言語:	English English
出版事項:	2022
主題:	QA71-90 Instruments and machines
オンライン･アクセス:	https://eprints.ums.edu.my/id/eprint/34504/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/34504/2/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/34504/ https://ieeexplore.ieee.org/document/9845150
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