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
A genetic algorithm for the economic manpower shift planning problem
TL;DR: A modified genetic algorithm (GA) is presented for the solution of the economic manpower shift planning (EMSP) problem, an NP-hard capacity planning problem arising in various industrial settings including the packing stage of production in process industries and maintenance operations.
Recent developments in configuration design and optimization of mineral separation circuits; A Review
TL;DR: The present research reviews two basic approaches for the separation circuit configuration analysis and finds that the circuit analysis, evaluates the circuit configuration by considering a transfer function for each separation unit has more application in the flotation process.
Dissertation
Ambulatory Clinic Scheduling
TL;DR: This thesis will establish the clinic scheduling problem as an important healthcare operations problem alongside other popular and well-studied healthcare scheduling problems such as personnel and operating room scheduling.
Book
Optimizing an F-16 Squadron Weekly Pilot Schedule for the Turkish Air Force
TL;DR: In this article, a greedy randomized adaptive search procedure (GRASP) is applied to the weekly pilot scheduling problem in the Turkish Air Force, and the results showed that GRASP performed well and smaller standard deviations in sortie numbers were obtained while keeping all pilots within the currency limit of each mission.
Journal ArticleDOI
Collaborative duty rostering in health care professions
TL;DR: Constraint Programming approaches are presented based on a set of CP model components and a domain driven algorithm for detecting conflicts of wishes is introduced and argued that it outperforms approaches known from the literature.
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.