首页> 外文会议>Asia-Pacific conference on simulated evolution and learning >A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem
【24h】

A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem

机译:一种用于护士的Hybrid Tabu搜索算法

获取原文

摘要

This paper deals with the problem of nurse rostering in Belgian hospitals. This is a highly constrained real world problem that was (until the results of this research were applied) tackled manually. The problem basically concerns the assignment of duties to a set of people with different qualifications, work regulations and preferences. Constraint programming and linear programming techniques can produce feasible solutions for this problem. However, the reality in Belgian hospitals forced us to use heuristics to deal with the over constrained schedules. An important reason for this decision is the calculation time, which the users prefer to reduce. The algorithms presented in this paper are a commercial nurse rostering product developed for the Belgian hospital market, entitled Plane.
机译:本文涉及比利时医院的护士分册问题。这是一个高度约束的真实世界问题(直到应用了该研究的结果)手动解决。问题基本上涉及为一系列具有不同资格,工作条例和偏好的人分配职责。约束编程和线性编程技术可以为此问题产生可行的解决方案。然而,比利时医院的现实强迫我们使用启发式来处理过度约束的时间表。该决定的一个重要原因是用户更愿意减少的计算时间。本文提出的算法是为比利时医院市场开发的商业护士分册产品,题为飞机。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号