Abstract
One direction of the network research is currently turning to understanding how the structure of social networks determines the dynamics of various types of social process. An important feature of many complex systems, both natural and artificial, is the structure and organization of their interaction networks. In our study, the optimal network topology is generated by using genetic algorithm (GA). We use the weighted fitness function of the maximum eigenvalue of adjacency matrix and the link density. We show various types of networks generated as the optimal networks and we investigate the properties of these. Our network design method enables us to networks which have better performances for diffusion process.
