An indirect genetic algorithm for a nurse-scheduling problem
Uwe Aickelin,Kathryn A. Dowsland +1 more
TLDR
This paper describes a Genetic Algorithms approach to a manpower-scheduling problem arising at a major UK hospital that is able to find high quality solutions and is both faster and more flexible than a recently published Tabu Search approach.About:
This article is published in Computers & Operations Research.The article was published on 2004-04-20 and is currently open access. It has received 360 citations till now. The article focuses on the topics: Crossover & Nurse scheduling problem.read more
Citations
More filters
Journal ArticleDOI
Workforce planning incorporating skills: State of the art
TL;DR: A review and classification of the literature regarding workforce planning problems incorporating skills is presented in this paper, where the authors present a combination of technical and managerial knowledge to encourage the production of more realistic and useful solution techniques.
Journal ArticleDOI
An aco algorithm for a dynamic regional nurse scheduling problem in austria
TL;DR: This paper describes the first ant colony optimization (ACO) approach applied to nurse scheduling, analyzing a dynamic regional problem which is currently under discussion at the Vienna hospital compound.
Journal ArticleDOI
A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem
TL;DR: In this paper, an intelligent decision support methodologies for nurse rostering problems in large modern hospital environments is presented. But the amount of computational time that is allowed plays a significant role and the authors analyse and discuss this.
Journal ArticleDOI
A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems
TL;DR: This paper presents a hybrid multi-objective model that combines integer programming (IP) and variable neighbourhood search (VNS) to deal with highly-constrained nurse rostering problems in modern hospital environments and believes it can be applied to other resource allocation problems with a large number of constraints.
Journal ArticleDOI
A genetic algorithm approach to a nurse rerostering problem
TL;DR: In this paper, the authors describe constructive heuristics, besides several versions of genetic algorithms based on specific encoding and operators for sequencing problems applied to the nurse rerostering problem, defined with hard constraints.
References
More filters
Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Book
Handbook of Genetic Algorithms
TL;DR: This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems, and introduces the fundamental genetic algorithm (GA), and shows how the basic technique may be applied to a very simple numerical optimisation problem.