A hybrid metaheuristic case-based reasoning system for nurse rostering

被引:0
|
作者
Gareth Beddoe
Sanja Petrovic
Jingpeng Li
机构
[1] University of Nottingham,Automated Scheduling, Optimisation, and Planning Research Group, School of Computer Science and Information Technology
来源
Journal of Scheduling | 2009年 / 12卷
关键词
Case-based reasoning; Personnel scheduling; Nurse rostering; Memetic algorithm; Learning from failure;
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学科分类号
摘要
In this paper we present a novel Case-Based Reasoning (CBR) system called CABAROST (CAsed-BAsed ROSTering) which was developed for personnel scheduling problems. CBR is used to capture and store examples of personnel manager behaviour which are then used to solve future problems. Previous examples of constraint violations in schedules and the repairs that were used to solve the violations are stored as cases. The sequence in which violations are repaired can have a great impact on schedule quality. A novel memetic algorithm is proposed which evolves good quality sequences of repairs generated by CABAROST. The algorithm was tested on instances of the real-world nurse rostering problem at the Queens Medical Centre NHS Trust in Nottingham.
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页码:99 / 119
页数:20
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