Team performance prediction based on an evolutionary algorithm

In order to better adapt to complexity of environment and uncertainty of tasks, a team with high performances has become a key to improve productivity and achieve organizational success. However, team modeling is extremely complex, involving research on individual model and interaction between individuals. Based on using agents to build individual models, this paper proposed an organization cognitive behavior model as well as putting forward an interaction model based on interactive distances to quantitatively describe mutual influence between individuals. At the same time, an improved evolutionary algorithm is applied to deduce an organization´s behavior and predict its performance. Finally, through analysis of simulation results, the proposed model is proved to be in line with actual situations.