Improvement of Evolution on Evolutionary Set Theory Based on Public Goods Game Using CUDA

This paper introduces an evolutionary model for complex networks on public goods game, which is a dynamical simulation for the real society. The degree distribution of this network is similar to the real society which is closed to Poisson distribution in the first part of process and in accordance with power law distribution in the second. The clustering coefficient of network is enhanced by the cooperator frequency. It is investigated that the cooperator frequency is remarkably promoted by the multiplication factor and initial number of join sets. Moreover, for the simulation of this evolutionary model, the execution on GPUs can achieve speedup over the execution on CPUs.