Presentation 2015-03-05
A Study on Individual Preference Preserving Nurse Scheduling Based on Genetic Algorithm Using Levenshtein Distance
Masanari KONDO, Ryosuke KUBOTA,
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Abstract(in English) In this paper, we propose a shift roster generating method considering the individual preference of nurses. The shift roster is generated by a genetic algorithm (GA) based on Levenshtein distance. In the conventional methods, the shift roster is generated with considering the individual preference of nurses. However, the created shift roster can not satisfy the working guideline for nurses. Furthermore, the satisfaction rate for all requests of nurses is not so high. The proposed method employs Levenshtein distance for the calculation of a similarity between the shift rosters. A degree of the similarity is used for the fitness function and the mutation process. The validity and the effectiveness of the proposed method are verified by the experiments.
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Keyword(in English) Nurse Scheduling Problem (NSP) / Genetic Algorithm (GA) / Levenshtein Distance
Paper # SIS2014-95
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Conference Date 2015/2/26(1days)
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Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Individual Preference Preserving Nurse Scheduling Based on Genetic Algorithm Using Levenshtein Distance
Sub Title (in English)
Keyword(1) Nurse Scheduling Problem (NSP)
Keyword(2) Genetic Algorithm (GA)
Keyword(3) Levenshtein Distance
1st Author's Name Masanari KONDO
1st Author's Affiliation National Institute of Technology, Ube College()
2nd Author's Name Ryosuke KUBOTA
2nd Author's Affiliation National Institute of Technology, Ube College
Date 2015-03-05
Paper # SIS2014-95
Volume (vol) vol.114
Number (no) 496
Page pp.pp.-
#Pages 6
Date of Issue