Research on Digital System of Human Resource Information Based on Cloud Computing

This paper explores the design intent and functional structure of the human resource management information system. Based on specific circumstances, it provides a comprehensive plan for the human resource management information system, explaining the system's functions through individual modules. In this project, multi-objective particle swarm optimization algorithm is used to fuse multiple elements, and genetic optimization results are used to optimize solutions. Orthogonal optimization is used to initialize the particle swarm to ensure the convergence of the solution results through the performance test of the method. The results show that the optimal solutions obtained by this method are smaller than those obtained by the control method, and the final iteration time is shortest, which shows a better comprehensive effect. The proposed method can efficiently solve the optimal allocation of personnel, so as to achieve the purpose of the optimal allocation of personnel.