Human resource labor dispatch model using an improved genetic algorithm

The management and development of human resources (HR) have become one of the core contents of enterprise management. Enterprises pay more attention to the importance of information technology which results in the development of many labor dispatch enterprises. The rapid development and limited market share of labor dispatch enterprises lead to more fierce competition among the enterprises. With the rapid development of machine learning techniques, more enterprises begin to pay attention to managing the completion of various decision-making activities in operation with the help of computer information systems to save human costs. The labor dispatch model is a valuable addition to China's core contractual employment paradigms. Based on the improved genetic algorithm, this paper studies the human resource labor dispatch model which is used to optimize the number of people required by the dispatch project and optimize its labor cost. The HR recruitment model is used to calculate the number of people to be recruited for the dispatch project to meet the needs of the project and optimize its project dispatch scheme. The experimental results show that the benefit of dispatching through the artificial selection method (1127) is less than the result calculated by the HR dispatching plan model (1162), which proves the effectiveness of this model. The experimental results of the study depict the usefulness of the research.