Authors : Razamin Ramli and Lim Huai Tein
Abstract: Generating the best nurse schedule is an ever challenging effort for many decades.The real world scenario sare influenced by external factor srelated to hospital environment and internal factors characterized by the nurse personnel themselves. The effort is being further hindered by the complexity of the nurse scheduling problem which trigge red numerous potential scheduling approaches thus far. Hence, joining the race to search for the most suitable approach,this study proposed an Evolutionary Algorithm (EA) frame work with embedded enhancement in its selection, cross over and mutation operators. The evolutionary approach is expected to generate and produce the best suitable nurse working schedule for a highly constrained setting. Supported by the current scheduling trend in the approaches, some fruitful nurse scheduling models are in the pipe line of future work.
Razamin Ramli and Lim Huai Tein, 2016. An Evolutionary Algorithm Frame Work with Potential Enhancement in Selection, Cross over and Mutation Operators for a Nurse Scheduling Problem. The Social Sciences, 11: 2787-2794.