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A Bayesian optimisation algorithm for a nurse scheduling problem is presented, which involves choosing a suitable scheduling rule from a set for each nurse’s assignment. When a human scheduler works, he normally builds a schedule systematically following a set of rules. After much practice,...
Persistent link: https://www.econbiz.de/10014125599
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person's assignment. Unlike our previous work of using genetic algorithms whose learning is implicit, the learning in both...
Persistent link: https://www.econbiz.de/10012984194
Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization Algorithm (BOA) for the nurse scheduling problem that chooses such suitable scheduling rules from a set for each...
Persistent link: https://www.econbiz.de/10012984660
The optimal structure of a sinusoidal wavy plate fin heat sink with crosscut ( SWHS-WC) is determined by an efficient intelligent optimization method based on the Bayesian Optimization (BO) algorithm. The comprehensive thermal performance factor (TPF) is the objective function to associate with...
Persistent link: https://www.econbiz.de/10013302219