Enterprise Human Resource Allocation Optimization Model Based on Improved Particle Swarm Optimization Algorithm

With the development of the market economy, the competition for talents among enterprises has attracted more and more attention. Therefore, in recent years, enterprises have paid more and more attention to the optimal allocation of human resources. Aiming at the problem of human resources allocation in the process of enterprise management, this research establishes a corresponding mathematical model and solves the optimal allocation model of human resources based on particle swarm optimization algorithm. The calculation amount of the model is obviously reduced in the application process, the optimal solution is more ideal, and good results are achieved. However, the genetic algorithm itself has certain limitations, and the selection of initial chromosomes and the design of genetic operators put forward higher requirements. Starting from operability, based on system analysis and quantitative evaluation method, this paper establishes a model of human resources optimal allocation, provides a quantitative management method for optimal allocation of human resources, and designs an improved particle swarm optimization algorithm to solve this problem. The numerical simulation results show the effectiveness of the algorithm.