Multi-Agent Cooperation Behavior Based on Genetic Algorithm
Junjie Yang · Jisuanji fangzhen · 2006
Cooperation is one of the most important problems in multi agent system. This paper proposed a multi agent cooperation method based on genetic algorithm, which can solve the problem when a system can not get environment information or cost too much for getting the information. In a simulation experiment, three agents move a box to the destination cooperatively and change the destination when a task is completed, then let the agents to complete a new task has. Its result shows the feasibility and efficiency when genetic algorithm is used to multi agent cooperation in dynamic environment.