Abstract
An optimization method of a genetic algorithm for the problem of scheduling nurses has been proposed. This method optimizes the performance index that includes the weighted sum of the objective functions. However, the optimal solutions to the nurse scheduling problem are very difficult to achieve when each objective function has a different dynamic range. Therefore, this paper proposes a novel method to set the weighting factor with the standard deviations of the objective functions. The proposed method makes it possible to adopt any objective function and to actualize a practical scheduling system.
