Advanced search

Comparison of meta-heuristic procedures for the nurse scheduling problem

Broos Maenhout (UGent) and Mario Vanhoucke (UGent)
Author
Organization
Abstract
The nurse scheduling problem (NSP) assigns nurses to shifts in order to maximize the overall schedule quality. Up to now, various meta-heuristic procedures were proposed to solve the NSP in various guises. In this research, we compare the algorithmic design of different population-based meta-heuristic procedures proposed in literature. To that purpose, different algorithms, using a unifying approach, will be tested on a standard dataset and extensive computational results will be presented.
Keywords
Rostering, Nurse scheduling

Citation

Please use this url to cite or link to this publication:

Chicago
Maenhout, Broos, and Mario Vanhoucke. 2006. “Comparison of Meta-heuristic Procedures for the Nurse Scheduling Problem.” In 21st European Conference on Operational Research (EURO XXI), Abstracts.
APA
Maenhout, B., & Vanhoucke, M. (2006). Comparison of meta-heuristic procedures for the nurse scheduling problem. 21st European conference on Operational Research (EURO XXI), Abstracts. Presented at the 21st European conference on Operational Research (EURO XXI).
Vancouver
1.
Maenhout B, Vanhoucke M. Comparison of meta-heuristic procedures for the nurse scheduling problem. 21st European conference on Operational Research (EURO XXI), Abstracts. 2006.
MLA
Maenhout, Broos, and Mario Vanhoucke. “Comparison of Meta-heuristic Procedures for the Nurse Scheduling Problem.” 21st European Conference on Operational Research (EURO XXI), Abstracts. 2006. Print.
@inproceedings{1147860,
  abstract     = {The nurse scheduling problem (NSP) assigns nurses to shifts in order to maximize the overall schedule quality. Up to now, various meta-heuristic procedures were proposed to solve the NSP in various guises. In this research, we compare the algorithmic design of different population-based meta-heuristic procedures proposed in literature. To that purpose, different algorithms, using a unifying approach, will be tested on a standard dataset and extensive computational results will be presented.},
  author       = {Maenhout, Broos and Vanhoucke, Mario},
  booktitle    = {21st European conference on Operational Research (EURO XXI), Abstracts},
  keywords     = {Rostering,Nurse scheduling},
  language     = {eng},
  location     = {Reykjavik, Iceland},
  title        = {Comparison of meta-heuristic procedures for the nurse scheduling problem},
  year         = {2006},
}