Memetic algorithms for nurse rostering

被引：0
|
作者：
Özcan, E [1 ]
机构：
[1] Yeditepe Univ, Dept Comp Engn, Istanbul, Turkey
来源：
COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS | 2005年 / 3733卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Nurse rostering problems represent a subclass of scheduling problems that are hard to solve. The goal is finding high quality shift and resource assignments, satisfying the needs and requirements of employees as well as the employers in healthcare institutions. In this paper, a real case of a nurse rostering problem is introduced. Memetic Algorithms utilizing different type of promising genetic operators and a self adaptive violation directed hierarchical hill climbing method are presented based on a previously proposed framework.
引用
收藏
页码：482 / 492
页数：11
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