EFFECTIVE GENETIC OPERATORS OF COOPERATIVE GENETIC ALGORITHM FOR NURSE SCHEDULING

Makoto Ohki, Shin-ya Uneme, Shigeto Hayashi, Masaaki Ohkita

Abstract

This paper proposes effective genetic operators for cooperative genetic algorithm (GA) to solve a nurse scheduling problem. A clinical director of a medical department makes a duty schedule of all nurses of the department every month. Such the scheduling is very complex task. It takes one or two weeks to create the nurse schedule even by a veteran director. In conventional ways using the cooperative GA, a crossover operator is only employed for the optimization, because it does not lose consistency between chromosomes. We propose a mutation operator and a virus operator for the cooperative GA, which does not lose consistency of the nurse schedule. The cooperative GA with these new operators has brought a surprisingly good result, it has never been brought by the conventional algorithm.

References

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  6. generations Figure 8: Average value of the energy function for ten times trials. The unit of the horizontal line is ten thousand.
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Paper Citation


in Harvard Style

Ohki M., Uneme S., Hayashi S. and Ohkita M. (2007). EFFECTIVE GENETIC OPERATORS OF COOPERATIVE GENETIC ALGORITHM FOR NURSE SCHEDULING . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 347-350. DOI: 10.5220/0001618603470350


in Bibtex Style

@conference{icinco07,
author={Makoto Ohki and Shin-ya Uneme and Shigeto Hayashi and Masaaki Ohkita},
title={EFFECTIVE GENETIC OPERATORS OF COOPERATIVE GENETIC ALGORITHM FOR NURSE SCHEDULING},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2007},
pages={347-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001618603470350},
isbn={978-972-8865-82-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - EFFECTIVE GENETIC OPERATORS OF COOPERATIVE GENETIC ALGORITHM FOR NURSE SCHEDULING
SN - 978-972-8865-82-5
AU - Ohki M.
AU - Uneme S.
AU - Hayashi S.
AU - Ohkita M.
PY - 2007
SP - 347
EP - 350
DO - 10.5220/0001618603470350