A survey of the nurse rostering solution methodologies: The state-of-the-art and emerging trends
This paper presents an overview of recent advances for the Nurse Rostering Problem (NRP)
based on methodological papers published between 2012 to 2021. It provides a …
based on methodological papers published between 2012 to 2021. It provides a …
Learning constraints from examples
While constraints are ubiquitous in artificial intelligence and constraints are also commonly
used in machine learning and data mining, the problem of learning constraints from …
used in machine learning and data mining, the problem of learning constraints from …
First-order linear programming in a column generation-based heuristic approach to the nurse rostering problem
A heuristic method based on column generation is presented for the nurse rostering
problem. The method differs significantly from an exact column generation approach or a …
problem. The method differs significantly from an exact column generation approach or a …
Cooperative search for fair nurse rosters
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 …
still presents a daunting challenge. Building on an existing nurse rostering problem, a set of …
[HTML][HTML] On the complexity of nurse rostering problems
SJM den Hartog, H Hoogeveen… - Operations Research …, 2023 - Elsevier
Abstract In Nurse Rostering problems the goal is to assign nurses to shifts, subject to a
number of constraints. In this paper we consider the computational complexity of such …
number of constraints. In this paper we consider the computational complexity of such …
[PDF][PDF] Acquiring integer programs from data
M Kumar - Proceedings of the twenty-eighth international joint …, 2019 - lirias.kuleuven.be
Integer programming (IP) is widely used within operations research to model and solve
complex combinatorial problems such as personnel rostering and assignment problems …
complex combinatorial problems such as personnel rostering and assignment problems …
Automating personnel rostering by learning constraints using tensors
Many problems in operations research require that constraints be specified in the model.
Determining right constraints is a hard and laborsome task. We propose an approach to …
Determining right constraints is a hard and laborsome task. We propose an approach to …
Facilitating the transition from manual to automated nurse rostering
After several decades of academic research in the field of automated nurse rostering, few
results find their way to practice. Often, the configuration of a software system for automated …
results find their way to practice. Often, the configuration of a software system for automated …
A tool-supported framework for work planning on construction sites based on constraint programming
This paper presents a framework taking advantage of the capabilities of current constraint
solvers to plan the work on construction sites. It combines different constraints under a …
solvers to plan the work on construction sites. It combines different constraints under a …
A memetic algorithm with recovery scheme for nurse preference scheduling
CC Lin, JR Kang, TH Hsu - Journal of Industrial and Production …, 2015 - Taylor & Francis
The previous works on designing evolutionary algorithm for nurse preference scheduling
problems hardly realized that too many strict constraints on nurse preferences adopted at …
problems hardly realized that too many strict constraints on nurse preferences adopted at …