Achieving compromise solutions in nurse rostering by using automatically estimated acceptance thresholds
type: Item
instance of: scholarly article
title: Achieving compromise solutions in nurse rostering by using automatically estimated acceptance thresholds
zbMATH Open document ID: 1487.90272
author: Elín Björk Böðvarsdóttir
author: Pieter Smet
author: Thomas J. R. Stidsen
author: Greet Vanden Berghe
published in: European Journal of Operational Research
publication date: 2021-06-07T00:00:00Z
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 7355987
zbMATH Keywords: timetabling
zbMATH Keywords: nurse rostering
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: compromise solutions
zbMATH Keywords: lexicographic goal programming
MaRDI profile type: Publication
full work available at URL: j.ejor.2020.11.017
OpenAlex ID: W3102401085
cites work: Multiobjective optimization. Interactive and evolutionary approaches
cites work: The state of the art of nurse rostering
cites work: A Pareto-based search methodology for multi-objective nurse scheduling
cites work: Fast, flexible MUS enumeration
cites work: A comparison of two approaches to nurse rostering problems
cites work: Staff assignment with lexicographically ordered acceptance levels
cites work: Polynomially solvable personnel rostering problems
cites work: Local and global constraint consistency in personnel rostering
cites work: Personnel scheduling: a literature review
DOI: 10.1016/J.EJOR.2020.11.017
description: scientific article; zbMATH DE number 7355987