Research on Prediction of Barycenter Moving of Urban Cluster Based on Coordinate Segregation and Genetic Algorithm

Through coordinate segregation of barycenter moving track of urban cluster, a complex function composed of one trend item and several cycle items is adopted to simulate the change of barycenter¿s x-,y-coordinates. And GA is used to estimate the model parameters. It needn¿t linearize the model in advance. The methods above can arrive at a satisfactory result on barycenter-moving track of Shandong urban cluster¿s economic barycenter.