基于改进的NSGA2算法考虑病患公平性及医院运作成本的病床配置优化研究

Abstract: To address the problems of large operating costs and fairness between doctors and patients in the current hospital bed scheduling, this paper proposes a multi-objective stochastic programming model for single department bed allocation considering hospital operating costs and patient fairness. First, this paper proposes a weighted measure of responsiveness and access to reflect the fairness of the doctor-patient relationship based on relevant hospital-based policies, and establishes a multi-objective stochastic programming model considering the operational cost of the hospital; second, to facilitate the algorithm solution, a linearization method is introduced to process the complex model into a mixed integer linear model; finally, the improved NSGA2 algorithm solve the multi-objective problem The improved algorithm enhances the convergence and diversity of the algorithm, and the experimental results verify the validity and applicability of the model by adjusting different parameters for different numerical experiments.