Colonization Strategy Algorithm: A Deviation Algorithm Optimization based on Spatial Autocorrelation Theory

Abstract

In this paper, an improved algorithm for differential features of multi-objective evolutionary trajectories in multi-intellectual societies is proposed. With the intervention of spatial autocorrelation theory, the data of typical objects, events and processes in social evolution are effectively linked with temporal and spatial scale constraints and the geographic raster grid as the grassroots environment. Based on the differential evolution algorithm, an algorithmic model of social evolution for assessing social complexity and community specificity is proposed.