|Table of Contents|

[1] Zhou Binghai, Yin Meng,. Novel operating theatre scheduling methodbased on estimation of distribution algorithm [J]. Journal of Southeast University (English Edition), 2016, 32 (1): 112-118. [doi:10.3969/j.issn.1003-7985.2016.01.019]
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Novel operating theatre scheduling methodbased on estimation of distribution algorithm()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
32
Issue:
2016 1
Page:
112-118
Research Field:
Computer Science and Engineering
Publishing date:
2016-03-20

Info

Title:
Novel operating theatre scheduling methodbased on estimation of distribution algorithm
Author(s):
Zhou Binghai Yin Meng
School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Keywords:
operating theatre scheduling estimation of distribution algorithm makespan
PACS:
TP391
DOI:
10.3969/j.issn.1003-7985.2016.01.019
Abstract:
In order to improve the efficiency of operating rooms, reduce the costs for hospitals and improve the level of service qualities, a scheduling method was developed based on an estimation of distribution algorithm(EDA). First, a scheduling problem domain is described. Based on assignment constraints and resource capacity constraints, the mathematical programming models are set up with an objective function to minimize the system makespan. On the basis of the descriptions mentioned above, a solution policy of generating feasible scheduling solutions is established. Combined with the specific constraints of operating theatres, the EDA-based algorithm is put forward to solve scheduling problems. Finally, simulation experiments are designed to evaluate the scheduling method. The orthogonal table is chosen to determine the parameters in the proposed method. Then the genetic algorithm and the particle swarm optimization algorithm are chosen for comparison with the EDA-based algorithm, and the results indicate that the proposed method can decrease the makespan of the surgical system regardless of the size of operations. Moreover, the computation time of the EDA-based algorithm is only approximately 5 s when solving the large scale problems, which means that the proposed algorithm is suitable for carrying out an on-line scheduling optimization of the patients.

References:

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Memo

Memo:
Biography: Zhou binghai(1965—), male, doctor, professor, bhzhou@tongji.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.61273035, 71471135).
Citation: Zhou Binghai, Yin Meng. Novel operating theatre scheduling method based on estimation of distribution algorithm[J].Journal of Southeast University(English Edition), 2016, 32(1):112-118.DOI:10.3969/j.issn.1003-7985.2016.01.019.
Last Update: 2016-03-20