A Tabu Search Approach with Embedded Nurse Preferences for Solving Nurse Rostering Problem

A Tabu Search Approach with Embedded Nurse Preferences for Solving Nurse Rostering Problem

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This paper presents an intelligent tabu search (TS) approach for solving a complex real-world nurse rostering problem (NRP). Previous study has suggested that improvement on neighborhoods and smart intensification of a TS could produce faster and fitted solution. In order to enhance the TS, this pap...

書誌詳細
主要な著者:	Ramli, Razamin, Ahmad, Siti Nurin Ima, Abdul-Rahman, Syariza, Wibowo, Antoni
フォーマット:	論文
言語:	English
出版事項:	EDP Sciences 2020
主題:	QA Mathematics
オンライン･アクセス:	https://repo.uum.edu.my/id/eprint/30991/1/IJSMDO%2011%2010%202020%2001-10.pdf https://doi.org/10.1051/smdo/2020002

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