Abstract
Networks in the real world often show scalefree. A variety of models that can produce the scale-free networks have been proposed, and they are different in many respects. Recent studies have shown that the growth of networks can be interpreted as the result of network optimization in terms of various performance measures. In this paper, we use the genetic algorithm (GA) as a tool of optimization and investigate the properties of evolved networks. The objective functions of GA are the weighted combination of node betweenness and the density of links. In other words, we design and evaluate evolved networks that minimize congestion and construction cost of the network.
