Optimal Allocation Model of Enterprise Human Resources Based on Particle Swarm Optimization

Abstract

In order to realize the optimization of enterprise human resources optimal allocation management and improve the efficiency of enterprise human resources management, an enterprise human resources optimal allocation model based on particle swarm optimization is designed, and an enterprise human resources optimal scheduling and adaptive allocation method based on particle swarm optimization is proposed. The method of large data fusion of enterprise human resources is adopted to construct a database model for optimal allocation of enterprise human resources, online analytical processing tools are used to construct a table model for optimal allocation of enterprise human resources in the form of reports, statistical regression analysis methods are adopted to perform multidimensional information fusion and feature extraction in the process of optimal allocation of enterprise human resources, particle swarm optimization evolutionary control methods are adopted to perform information retrieval and multidimensional data loading for optimal allocation of enterprise human resources, using the big data fusion method, the disturbance analysis of enterprise human resources management decision-making is carried out, and the weight analysis is carried out according to the stagnation of evolution. The non-cooperative game model of enterprise human resources management decision-making is constructed to improve the fuzzy decision-making ability of human resources system. The simulation results show that the information fusion ability of the optimized allocation of enterprise human resources using this method is better, and the optimized allocation ability of enterprise human resources is stronger. It realizes the optimized allocation and detection of enterprise human resources, and has good application value in the optimized allocation and management of enterprise human resources.