Psychological preference-based optimization framework on the nurse scheduling problem
Journal
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
Pages
1319-1320
Date Issued
2010
Author(s)
Abstract
Besides the difficulty of scheduling, major challenges of the nurse scheduling problems (NSPs) are constraint handling and chief nurses' psychological preference that is not clearly defined. It is too strong an assumption that the constructed objective functions in some existing researches are close to chief nurses' preference. This research presents a psychological preference-based optimization framework (PPOF) which optimizes constrained problems based on human preference. Moreover, an implementation on a realistic NSP is introduced. The experiments show that PPOF is able to optimize a monthly nurse schedule for National Taiwan University Hospital according to chief nurses' preference.
Type
conference paper