Meta-heuristic algorithm-based human resource information management system design and development for industrial revolution 5.0.

Nowadays, all enterprises have adopted the means of informatization for enterprise management to adapt to the development of society. With the advent of the information age, enterprise transformation has become an inevitable trend. The management efficiency of enterprises is effectively improved, and the optimal scheduling and efficient management of personnel are realized to design and develop a human resource management (HRM) information system to meet the actual needs of enterprises. By studying the current problems of intelligent enterprise system and HRM information system, based on Java programming language, spring model–view–controller (MVC) web application system is combined with browser/server (B/S) framework, and construction is realized on an intelligent enterprise HRM information system. Aiming at the complexity of enterprise HRM, the meta-heuristic algorithm is adopted to optimize the human resource optimization scheduling module. Through the specific example data, the system implementation and model performance comparison experiments are carried out to further verify the effectiveness of the intelligent enterprise HRM information system proposed here. The results show that the HRM information system based on intelligent enterprise system realizes the effective collection and sorting of data, the running system meets the expected research objectives, and different modules can effectively perform specific functions; the algorithm based on meta-heuristic can realize the reasonable scheduling of personnel, and its model performance is significantly higher than the latest algorithm model. With the continuous increase in the number of events, what is improved is the optimal solution ability of the algorithm. Moreover, it decreases with the increase in the number of iterations, converging around 80 times, and the optimization efficiency reaches 86.35%; the system can find the optimal solution in a shorter time under the same number of iterations. Besides, after the system clustering, the accuracy of employee performance reaches 92%. The intellectualization of enterprise HRM greatly improves the office efficiency. [ABSTRACT FROM AUTHOR]