Artificial immune systems for intelligent nurse rostering

被引：1

作者：

Lo, C. -C. ^{[1
]}

Lin, C. -C. ^{[1
]}

Wang, C. -T. ^{[2
]}

Dai, T. -J. ^{[3
]}

Wong, D. ^{[1
]}

机构：

[1] Fo Guang Univ, Dept Informat, Yilan, Taiwan

[2] Natl Taipei Univ Edu, Dept Comp Sci, Taipei, Taiwan

[3] Hong Cheng Int Technol Inc, Yilan, Taiwan

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4 | 2007年

关键词：

artificial immune system; nurse rostering; intelligent scheduling; hospital administration;

D O I：

10.1109/IEEM.2007.4419313

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Nurse rostering is an essential and important task for hospital administration. In this paper, an intelligent nurse rostering system is proposed by using two types of artificial immune systems, CLONALG and aiNet, as the intelligent mechanisms. The performance of both artificial immune systems is examined, and the results indicate that both artificial immune systems provide good intelligent solutions to solve nurse rostering problems efficiently and effectively. In addition, it is also found that CLONALG is a more efficient intelligent nurse rostering mechanism when time-consuming WHAT-IF analysis is frequently needed.

引用

页码：862 / +

页数：2

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