Using Parallel Genetic Algorithm for Nurse Scheduling Problem
碩士 === 大葉大學 === 工業工程與科技管理學系 === 93 === Nurse scheduling is the most important part of nursing human resources’ management, the quality of nurse scheduling influence caring of the sick and working morale directly. Since people pay much attention to service quality and nursing costs play a major porti...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2005
|
Online Access: | http://ndltd.ncl.edu.tw/handle/13182214869045384042 |
id |
ndltd-TW-093DYU00030001 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-093DYU000300012015-10-13T12:56:39Z http://ndltd.ncl.edu.tw/handle/13182214869045384042 Using Parallel Genetic Algorithm for Nurse Scheduling Problem 利用平行基因演算法求解護理人員排班問題之研究 Qing-Yu Zhu 朱慶餘 碩士 大葉大學 工業工程與科技管理學系 93 Nurse scheduling is the most important part of nursing human resources’ management, the quality of nurse scheduling influence caring of the sick and working morale directly. Since people pay much attention to service quality and nursing costs play a major portion of overall expenditure in hospital operations, people place importance on research of nurse scheduling. This work presents varied length genetic algorithm for solving nursing scheduling problems and compare with constraint genetic algorithm. Finally, this work attempts to combine conception of PC cluster to construct Parallel Genetic Algorithm for the promotion solution potency. Key words: Varied length genetic algorithm, Nurse scheduling problem, Constraint genetic algorithm, PC cluster, Parallel Genetic Algorithm Yeh, Jinn-yi 葉進儀 2005 學位論文 ; thesis 0 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 大葉大學 === 工業工程與科技管理學系 === 93 === Nurse scheduling is the most important part of nursing human resources’ management, the quality of nurse scheduling influence caring of the sick and working morale directly. Since people pay much attention to service quality and nursing costs play a major portion of overall expenditure in hospital operations, people place importance on research of nurse scheduling.
This work presents varied length genetic algorithm for solving nursing scheduling problems and compare with constraint genetic algorithm. Finally, this work attempts to combine conception of PC cluster to construct Parallel Genetic Algorithm for the promotion solution potency.
Key words: Varied length genetic algorithm, Nurse scheduling problem, Constraint genetic algorithm, PC cluster, Parallel Genetic Algorithm
|
author2 |
Yeh, Jinn-yi |
author_facet |
Yeh, Jinn-yi Qing-Yu Zhu 朱慶餘 |
author |
Qing-Yu Zhu 朱慶餘 |
spellingShingle |
Qing-Yu Zhu 朱慶餘 Using Parallel Genetic Algorithm for Nurse Scheduling Problem |
author_sort |
Qing-Yu Zhu |
title |
Using Parallel Genetic Algorithm for Nurse Scheduling Problem |
title_short |
Using Parallel Genetic Algorithm for Nurse Scheduling Problem |
title_full |
Using Parallel Genetic Algorithm for Nurse Scheduling Problem |
title_fullStr |
Using Parallel Genetic Algorithm for Nurse Scheduling Problem |
title_full_unstemmed |
Using Parallel Genetic Algorithm for Nurse Scheduling Problem |
title_sort |
using parallel genetic algorithm for nurse scheduling problem |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/13182214869045384042 |
work_keys_str_mv |
AT qingyuzhu usingparallelgeneticalgorithmfornurseschedulingproblem AT zhūqìngyú usingparallelgeneticalgorithmfornurseschedulingproblem AT qingyuzhu lìyòngpíngxíngjīyīnyǎnsuànfǎqiújiěhùlǐrényuánpáibānwèntízhīyánjiū AT zhūqìngyú lìyòngpíngxíngjīyīnyǎnsuànfǎqiújiěhùlǐrényuánpáibānwèntízhīyánjiū |
_version_ |
1716869484749258752 |