Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Reference44 articles.
1. Aickelin, U., & Dowsland, K. (2008). Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem. 3(3):139–153 (arXiv preprint arXiv:0802.2001 ).
2. auf’m Hofe, H. M. (2001). Solving rostering tasks by generic methods for constraint optimization. International Journal of Foundations of Computer Science, 12(05), 671–693.
3. 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.
4. BDI. (2013). Die Gesundheitswirtschaft ein stabiler Wachstumsfaktor für Deutschlands Zukunft. http://bit.ly/1m4qf0M
5. Bilgin, B., De Causmaecker, P., Rossie, B., & Vanden Berghe, G. (2012). Local search neighbourhoods for dealing with a novel nurse rostering model. Annals of Operations Research, 194(1), 33–57.
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献