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Paper Abstract and Keywords
Presentation 2014-12-18 11:50
A Study on Genetic Algorithm-based Nurse Scheduling Considering Individual Preference
Masanari Kondo, Ryosuke Kubota (NIT, Ube) SIS2014-72
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper,we propose a genetic algorithm (GA)-based shift roster creating method considering the individual preference of nurses.
In the conventional methods, the shift roster is created with considering the individual preference.
However, the created shift roster satisfies the working guideline for nurses.
In this paper, we propose a modified GA-based shift roster creating method.
The proposed method employs new constraints for consecutive working days and modify the conventional method.
Furthermore, we modify the fitness function.
The validity and the effectiveness of the proposed method are confirmed by various simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Nurse Scheduling Problem / Genetic Algorithm / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 370, SIS2014-72, pp. 31-36, Dec. 2014.
Paper # SIS2014-72 
Date of Issue 2014-12-11 (SIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SIS2014-72

Conference Information
Committee SIS  
Conference Date 2014-12-18 - 2014-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Research Park (Kyoto City) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) System on Silicon, Short Distance Wireless Communication Application Systems, etc. 
Paper Information
Registration To SIS 
Conference Code 2014-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Genetic Algorithm-based Nurse Scheduling Considering Individual Preference 
Sub Title (in English)  
Keyword(1) Nurse Scheduling Problem  
Keyword(2) Genetic Algorithm  
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1st Author's Name Masanari Kondo  
1st Author's Affiliation National Institute of Technology, Ube College (NIT, Ube)
2nd Author's Name Ryosuke Kubota  
2nd Author's Affiliation National Institute of Technology, Ube College (NIT, Ube)
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Speaker Author-1 
Date Time 2014-12-18 11:50:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2014-72 
Volume (vol) vol.114 
Number (no) no.370 
Page pp.31-36 
#Pages 6 
Date of Issue 2014-12-11 (SIS) 

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