A Task-matching based Coalition Generation Strategy
一种基于任务匹配的联盟生成策略

Coalition Generation is a key topic in Multi-Agent System which mainly focuses on how to generate the optimal task-oriented coalition in a dynamic manner.This paper introduces the concepts of History Task Set and System Experience Set,and employes the Similarity of Tasks to estimate their relationship.It presents a Task-matching based coalition generation strategy by which the learning ability of agents is highly enhanced and the optimal solution for the task alignment is generated.The contrastive experiments show that this strategy can decrease the retrieving time and computation effectively.