需求变动视角下虚拟养老服务人员调度研究

Research on Virtual Elderly Care Service Personnel Scheduling from the Perspective of Demand Change

针对虚拟养老服务人员实时调度问题,基于需求变动视角分别构建成本最优的调度优化模型和扰动最小的干扰管理模型,通过改进灰狼优化算法的位置更新公式,引入非支配排序设计多目标遗传灰狼优化算法。通过求解标准算例对比算法求解指标验证了算法的优越性,通过设计并求解算例验证模型的可行性。研究结果表明:相较于重调度法,干扰管理模型能够显著降低干扰事件对各主体的影响,生成更为丰富的决策集合,更加适合虚拟养老服务人员的调度问题。

In order to solve the real-time scheduling problem of virtual eldly service personnel,this paper constructs a cost-optimal scheduling optimization model and a disturbance-minimization management model based on the perspective of demand variation,by improving the location update formula of grey wolf optimization algorithm,the non-dominated ranking design multi-objective genetic grey wolf optimization algorithm is introduced.The superiority of the algorithm is verified by solving the comparison index of the standard example,and the feasibility of the model is verified by designing and solving the example.The results show that,compared with the rescheduling method,the disturbance management model can significantly reduce the influence of disturbance events on the agents,generate more abundant decision sets,and is more suitable for the scheduling problem of virtual elderly service personnel.