Establishment of Evolutionary Nurse Scheduling Based on Self-aggregated Subspaces Mining

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The purpose of this research is an establishment of a novel evolutionary computing method in order to solve a nurse scheduling problem, which is one of the optimization problems. Concretely, a genetic algorithm with self-organizing map-based selection method was proposed and enables a 2-dimensional visualization of characteristics of the given optimization problem. Furthermore, a particle swarm optimization and a distributed genetic algorithm were modified, and their effectiveness and validities were confirmed.