Title: Cooperative search for fair nurse rosters
Authors: Martin, Simon ×
Ouelhadj, Djamila
Smet, Pieter
Vanden Berghe, Greet
Ozcan, Ender #
Issue Date: Nov-2013
Publisher: Elsevier
Series Title: Expert Systems with Applications vol:40 issue:16 pages:6674-6683
Abstract: The development of decision support systems acceptable for nurse rostering practitioners still presents a daunting challenge. Building on an existing nurse rostering problem, a set of fairness-based objective functions recently introduced in the literature has been extended. To this end, a generic agent-based cooperative search framework utilising new mechanisms is described, aiming to combine the strengths of multiple metaheuristics. These different metaheuristics represent individual planners’ implicit procedures for improving rosters. The framework enables to explore different ways of assessing nurse rosters in terms of fairness objectives. Computational experiments have been conducted across a set of benchmark instances. The overall results indicate that the proposed cooperative search for fair nurse rosters outperforms each metaheuristic run individually.
ISSN: 0957-4174
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Technologiecluster Computerwetenschappen
Computer Science Technology TC, Technology Campuses Ghent and Aalst
Computer Science, Campus Kulak Kortrijk
Informatics Section
× corresponding author
# (joint) last author

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