Presentation | 2002/1/23 A Note on Solving Method for Nurse Scheduling Problem with a Genetic Algorithm Shin OOYA, Miki HASEYAMA, Hideo KITAJIMA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An optimization method of a genetic algorithm for the problem of scheduling nurses has been proposed. This method optimizes the performance index that includes the weighted sum of the objective functions. However, the optimal solutions to the nurse scheduling problem are very difficult to achieve when each objective function has a different dynamic range. Therefore, this paper proposes a novel method to set the weighting factor with the standard deviations of the objective functions. The proposed method makes it possible to adopt any objective function and to actualize a practical scheduling system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | genetic algorithm / scheduling / combinatorial optimization |
Paper # | ITS2001-72, IE2001-211 |
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Committee | ITS |
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Conference Date | 2002/1/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Intelligent Transport Systems Technology (ITS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Note on Solving Method for Nurse Scheduling Problem with a Genetic Algorithm |
Sub Title (in English) | |
Keyword(1) | genetic algorithm |
Keyword(2) | scheduling |
Keyword(3) | combinatorial optimization |
1st Author's Name | Shin OOYA |
1st Author's Affiliation | School of Engineering, Hokkaido University() |
2nd Author's Name | Miki HASEYAMA |
2nd Author's Affiliation | School of Engineering, Hokkaido University |
3rd Author's Name | Hideo KITAJIMA |
3rd Author's Affiliation | School of Engineering, Hokkaido University |
Date | 2002/1/23 |
Paper # | ITS2001-72, IE2001-211 |
Volume (vol) | vol.101 |
Number (no) | 625 |
Page | pp.pp.- |
#Pages | 6 |
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