Abstract:

In this paper, an adaptive decision method ,which focuses on how to get stable total benefit when solving the problems of task distribution in diverseMU-MT Internet environments, is proposed. This method improves the traditional evolution strategy for controlling the evolution direction and designingrational selection operators. These improvements can optimize the speed of convergence, and avoid dithering and premature convergence additionally. The main advantage of the algorithm is that the size of operation can be adjusted automatically according to the CSCL environment, so it has strong self-ad aptability to the environment and can be an efficient scheme to support cooperation stably in unknown Internet environmens.

Key words: CSCL, adaptability, evolution strategy （ES）, stability