Improved NSGA model for multi objective operation scheduling and its evaluation

2017 2nd International Seminar on Advances in Materials Science and Engineering

Li, Weining^1 ; Wang, Fuyu^1,2

Anhui University of Technology, School of Management Science and Engineering, Anhui Maanshan, 243032, China^1

University of Shanghai for Science and Technology, School of Management, Shanghai

200093, China^2

关键词: Combination method;    Flexible operation;    Hospital operations;    Matlab simulations;    Multi objective;    Multi-objective optimization models;    Operation scheduling;    Optimal scheduling;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012103/pdf
DOI  :  10.1088/1757-899X/231/1/012103

来源: IOP

【 摘 要 】

Reasonable operation can increase the income of the hospital and improve the patient's satisfactory level. In this paper, by using multi object operation scheduling method with improved NSGA algorithm, it shortens the operation time, reduces the operation costand lowers the operation risk, the multi-objective optimization model is established for flexible operation scheduling, through the MATLAB simulation method, the Pareto solution is obtained, the standardization of data processing. The optimal scheduling scheme is selected by using entropy weight -Topsis combination method. The results show that the algorithm is feasible to solve the multi-objective operation scheduling problem, and provide a reference for hospital operation scheduling.