Improved Human Resource Allocation Method Based on Genetic Algorithm

Abstract

In order to improve the convergence of the algorithm and the utilization of human resources, a new human resources allocation optimization method based on improved hybrid genetic algorithm is proposed in this paper. Firstly, according to the relationship between post demand and human resources, the objective function of human resources allocation optimization is constructed. Secondly, the principle of traditional hybrid genetic algorithm is analyzed, and tabu search algorithm is introduced to improve the traditional hybrid genetic algorithm. Finally, the improved hybrid genetic algorithm is used to solve the objective function to complete the optimization of human resource allocation. The experimental results show that compared with the traditional optimization methods, the convergence of this method is better, and the utilization rate of human resources is significantly improved, which is always maintained at the level of more than 92%.