Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-03-20
Annals of Operations Research, 128, pp 159-177, 2004
Computer Science
Neural and Evolutionary Computing
Scientific paper
10.1023/B:ANOR.0000019103.31340.
The aim of this research is twofold: Firstly, to model and solve a complex nurse scheduling problem with an integer programming formulation and evolutionary algorithms. Secondly, to detail a novel statistical method of comparing and hence building better scheduling algorithms by identifying successful algorithm modifications. The comparison method captures the results of algorithms in a single figure that can then be compared using traditional statistical techniques. Thus, the proposed method of comparing algorithms is an objective procedure designed to assist in the process of improving an algorithm. This is achieved even when some results are non-numeric or missing due to infeasibility. The final algorithm outperforms all previous evolutionary algorithms, which relied on human expertise for modification.
Aickelin Uwe
White Paul
No associations
LandOfFree
Building Better Nurse Scheduling Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Building Better Nurse Scheduling Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Building Better Nurse Scheduling Algorithms will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-577851