Research on Virtual Elderly Care Service Personnel Scheduling from the Perspective of Demand Change
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 up-date formula of grey wolf optimization algorithm,the non-dominated ranking design multi-objec-tive 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 re-scheduling 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.
virtual pensionscheduling probleminterference managementprospect theoryge-netic-grey wolf optimization algorithm
万方数据
维普
