Design of Human Resource Management System Based on Ant Colony Algorithm

Aiming at the limitations of traditional image recognition algorithms in the design of human resource management system, a design scheme of resource management system based on ant colony algorithm was proposed. Firstly, the influencing factors is accurately located through the colony foraging theory, and the indicators is reasonably divided to reduce interference, and the ant colony algorithm is used to construct the design scheme of the resource management system. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional image recognition algorithm in terms of the design accuracy of the resource management system and the processing time of influencing factors, and has obvious advantages. The design of resource management system plays an extremely important role in human resources, which can accurately predict and optimize the growth characteristics and product generation of human resources. However, traditional image recognition algorithms have certain limitations in solving resource management simulation problems, especially when dealing with complex problems. In this paper, a resource management system design scheme based on ant colony algorithm is proposed to better solve this problem. In this scheme, the influencing factors were accurately located through the swarm foraging theory, so as to determine the division of indicators, and the ant colony algorithm was used to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on ant colony algorithm in the design of human resource management system can better solve the limitations of traditional image recognition algorithms and improve the simulation accuracy and efficiency.