A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends-Reference-Cited by-同舟云学术

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

Author:

Ngoo Chong Man¹^ORCID,Goh Say Leng¹^ORCID,Sze San Nah²,Sabar Nasser R.³^ORCID,Abdullah Salwani⁴^ORCID,Kendall Graham⁵

Affiliation:

1. Optimisation Research Group, Faculty of Computing and Informatics, Universiti Malaysia Sabah Kampus Antarabangsa Labuan, Labuan, Malaysia

2. Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia

3. Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia

4. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia

5. School of Computer Science, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia

Funder

Universiti Malaysia Sarawak

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference87 articles.

4. Optimization/mathematical programming;singh,2014

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