Population Economic Transfer Function Model Based on Genetic Tabu Search Algorithm

Abstract

Aiming at the problem that the evaluation effect of the traditional analysis model of population economic transfer is not good, a population economic transfer function model based on the genetic tabu search algorithm is proposed. Firstly, the defects of the genetic algorithm are analyzed, and the tabu search algorithm is integrated into the genetic tabu search algorithm to obtain the genetic tabu search algorithm, which avoids the problems of premature convergence and low search efficiency. Secondly, the population migration algorithm is designed. On this basis, the design process of the population economic transfer function model is determined. Finally, the effectiveness of the model is verified by comparative experiments. The experimental results show that when the population area is 50 km2 and 500 km2, the evaluation accuracy of the proposed method is 99% and 97%, respectively, which can avoid falling into a local maximum advantage to a certain extent.