Abstract
In the past, many researchers tried to find a high-quality nurse scheduling by using mathematical programming approach. However, mathematical programming approach is hard to solve the highly complex problem in the real world, because there are so many constraints. In this paper, we present Simplified Swarm Optimization (SSO), which is the stochastic optimization method proposed by Yeh [1], to solve the real world problem of Nurse Scheduling Problem (NSP). SSO designs the new update mechanism and aim to overcome the disadvantage of Particle Swarm Optimization (PSO) in discrete problem. The objective function is to maximize the fairness within all nurse's scheduling.