Prediction Algorithm of Labor Employment Capacity and Structure Based on Improved Genetic Algorithm

Abstract

As a general economic resource or capital, labor plays a vital role in the development of a country. The improvement of people’s living standards is the fundamental purpose of economic development. The economic development of a country is impossible from the support of the labor force. The supply and support of the labor force will directly affect the normal operation of a country’s economy. Since the reforms are opening up, China has made remarkable achievements in rapid economic development, but some new problems have gradually emerged in the labor market. On the one hand, important changes have taken place in the supply and demand situation of the labor market. The labor shortage crisis has started to spread across the country. With the increase of labor costs of enterprises and the adjustment of industrial structure, the problems of employment in the labor market such as large-scale layoffs and reduction of labor have become more prominent. On the other hand, the population’s age structure is gradually changing. China is about to enter an aging society in the future. This means that the proportion of old people towards youngsters will increase. At that time, China’s huge population size will likely evolve from a booster of economic growth to a burden on the economy. Therefore, the labor structure needs to be optimized urgently. Deepening the reforms requires China to transform its growth model and develop knowledge-intensive industries. It requires optimizing the capacity and structure of the labor market and improving the quality of the labor force. Measuring the total workforce in the future is an important prerequisite for addressing various challenges in the new situation. A genetic algorithm is a computational model of the biological evolution process that simulates the natural selection and genetic mechanism of Darwin’s theory of biological evolution. This is a technique of modeling the natural evolution process to get the best solution. In data mining, genetic algorithm has been widely used around the world. It is an important development direction to use them to effectively mine and predict data. Based on the changes in the age structure of the population, this paper will use an improved genetic algorithm. This algorithm will calculate the total labor supply and structural changes in China in the next few years. This study will provide a reference for the formulation of China’s macroeconomic and population policies.