Dynamic-cooperative-game approach to multi-agent objective optimization
多主体目标优化的动态合作博弈方法*

With multi-objective optimization technology and dynamic cooperative game theory,this paper introduced a multi-agent objective optimization model,which could adapt to dynamic environments.The model could make use of the cooperative ability of the multi-agent well and could consider dynamic coalition characteristic fully.This model was suit for the large scale complex task agent cooperation and could avoid the conflict between individual object and group object.Designed a coalition utility allocation algorithm based on the multi-agent objective optimization problem.The results of emulation test show that the coalition utility allocation algorithm can achieve a multi-win Pareto-optimal outcome,which make the coalition tending to be more stable.