scispace - formally typeset
Open AccessJournal ArticleDOI

An indirect genetic algorithm for a nurse-scheduling problem

Uwe Aickelin, +1 more
- 20 Apr 2004 - 
- Vol. 31, Iss: 5, pp 761-778
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

The State of the Art of Nurse Rostering

TL;DR: This review discusses nurse rostering within the global personnel scheduling problem in healthcare and critically evaluates solution approaches which span the interdisciplinary spectrum from operations research techniques to artificial intelligence methods.
Journal ArticleDOI

Personnel scheduling: A literature review

TL;DR: This paper presents a review of the literature on personnel scheduling problems and discusses the classification methods in former review papers, and evaluates the literature in the many fields that are related to either the problem setting or the technical features.
Journal ArticleDOI

Nurse rostering problems––a bibliographic survey

TL;DR: A brief overview, in the form of a bibliographic survey, of the many models and methodologies available to solve the nurse rostering problem is presented.
Journal ArticleDOI

Operations Research in Healthcare: a survey

TL;DR: This paper surveys several applications of Operations Research in the domain of Healthcare and highlights current research activities, focusing on a variety of optimisation problems as well as solution techniques used for solving the Optimisation problems.
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 to present a combination of technical and managerial knowledge to encourage the production of more realistic and useful solution techniques.
References
More filters
Journal Article

Evolutionary optimisation of Methodist preaching timetables

TL;DR: Various simple approaches to the problem of finding a suitable preaching timetable are looked at, which draw on the two main styles of approach to stochastic iterative timetabling (direct and indirect representations), and three well-known search techniques are compared: evolutionary algorithms, simulated annealing, and hillclimbing.
Related Papers (5)