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
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Competitive Nurse Rostering and Rerostering
TL;DR: These heuristics are the first nurse rostering methods that model each nurse's preferences in separate objective functions and uniquely separate the organizational cost and nurse preference problems by constraining the preference problem s solutions space to alternate cost optimal solutions.
Journal ArticleDOI
Decision support system for rehabilitation scheduling to enhance the service quality and the effectiveness of hospital resource management
TL;DR: In this article, a decision support system for rehabilitation scheduling is presented, which can generate the optimal schedules for rehabilitation patients to minimize waiting time and thus enhance service quality and overall resource effectiveness of rehabilitation facilities.
Posted Content
A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem
Jingpeng Li,Uwe Aickelin +1 more
TL;DR: A Bayesian optimization algorithm for the nurse scheduling problem is presented, which involves choosing a suitable scheduling rule from a set for each nurses assignment by building a Bayesian network of the joint distribution of solutions.
Journal ArticleDOI
Signed social structure optimization for shift assignment in the nurse scheduling problem
TL;DR: In this article, a mathematical framework that relies on modern social network analysis theories for treating the nurse team formation and nurse scheduling (shift assignment) problems, accounting for signed social connections is developed.
Proceedings ArticleDOI
Hierarchical Method For Nurse Rostering Based On Granular Pre-Processing Of Constraints.
TL;DR: It is shown that the granulation of the problem description in terms of constraints and scheduling time frames leads to a more manageable computing task.
References
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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.