Abstract: In view of the characteristics of complex network such as large quantity of data,and/or relation with knowledge, and inconvenience in management,the relationship between complex network and knowledge network,as well as their evolutionary process are discussed and studied.The theory of granular quotient space is used to build the coordination evolutionary model of complex and knowledge networks,and the coordination evolutionary algorithm for complex network based on granular computing is proposed.This method applies the double-base cooperating mechanism and regional change strategy to coordination evolution,and preferably solves the problems of mutual interactions and cooperative evolution between the two networks.The validity and feasibility of this method are demonstrated by experiments and comparisons.