A Bayesian optimization algorithm for the nurse scheduling problemTools Li, Jingpeng and Aickelin, Uwe (2003) A Bayesian optimization algorithm for the nurse scheduling problem. In: 2003 Congress on Evolutionary Computation (CEC2003), 812 Dec. 2003, Canberra, Australia.
AbstractA Bayesian optimization algorithm for the nurse scheduling problem is presented, which involves choosing a suitable scheduling rule from a set for each nurse’s assignment. Unlike our previous work that used GAs to implement implicit learning, the learning in the proposed algorithm is explicit, i.e. eventually, we will be able to identify and mix building blocks directly. The Bayesian optimization algorithm is applied to implement such explicit learning by
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