Staff assignment with lexicographically ordered acceptance levels
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
http://link.springer.com/article/10.1007/s10951-017-0525-1/fulltext.html
Reference54 articles.
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3. Al-Yakoob, S., & Sherali, H. (2007). Mixed-integer programming models for an employee scheduling problem with multiple shifts and work locations. Annals of Operations Research, 155(1), 119–142.
4. Azaiez, M. N., & Al Sharif, S. (2005). A 0–1 goal programming model for nurse scheduling. Computers and Operations Research, 32(3), 491–507.
5. Bai, R., Burke, E. K., Kendall, G., Li, J., & McCollum, B. (2010). A hybrid evolutionary approach to the nurse rostering problem. IEEE Transactions on Evolutionary Computation, 14(4), 580–590.
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1. Achieving compromise solutions in nurse rostering by using automatically estimated acceptance thresholds;European Journal of Operational Research;2021-08
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3. Preface;Journal of Scheduling;2018-02-14
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