A 2-Stage Approach for the Nurse Rostering Problem

Author:

Goh Say Leng1ORCID,Sze San Nah2ORCID,Sabar Nasser R.3ORCID,Abdullah Salwani4ORCID,Kendall Graham5

Affiliation:

1. Optimisation Research Group, Faculty of Computing and Informatics, Universiti Malaysia Sabah Labuan International Campus, 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, Bangi, Selangor, Malaysia

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

Funder

Universiti Malaysia Sabah

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Reference50 articles.

1. Constraint reformulation for nurse rostering problems;smet;Proc 12th Int Conf Pract Theory Automated Timetabling,2018

2. Population-Based Iterated Local Search Approach for Dynamic Vehicle Routing Problems

3. INRC2010: An approach using a general constraint optimization solver;nonobe;Proc 1st Int Nurse Rostering Competition (INRC),2010

4. A neutrality-based iterated local search for shift scheduling optimization and interactive reoptimization

5. Monte-Carlo Tree Search for a reentrant scheduling problem

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