Application of Genetic Programming to Prediction of Rural Labor Migration

Accurate prediction of labor migration account is important basis of correct migration decision-making and reasonable utilization and orderly transformation of rural labor. Because labor migration account is influenced by various uncertain factors of society and economy, but random constant ¿ in terminal sets of GP can balance the influence of related factor of measurand, therefore GP is applied to predict rural labor migration. After the program trained by training samples, prediction model of rural labor migration is affected by time variable is established and is tested by test samples. The results showed that the function which adopt GP has good fitting and forecasting effect, and model with simple structure can effectively avoid artificial error which is formed by various uncertain factors, so it is feasible to predict of rural labor migration.