A partitioning-based task allocation strategy for Police Multi-Agents

摘要：

　　RCRSS(RoboCup Rescue Simulation System,RCRSS)is a typical multi-agent system.In order to solve the task allocation problem for police multi-agents of this system,this paper presents a novel partitioning-based task allocation strategy.It is carried out through the use of clustering,namely the K-means clustering algorithm,to divide the map into several regions.Then the dynamic adjustment system with static assignment was adopted synthetically for the implementation.The experimental results show that the new task allocation strategy for the police can adapt to a variety of disaster environments and improve the efficiency of multi-agent collaboration.

关键词： RoboCup rescue Multi-agent Task allocation Cluster

作者: LIANG Zhiwei YANG Xiang DENG Yao

作者单位: College of Automation,Nanjing University of Posts and Telecommunications,Nanjing,210046

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 2124-2128

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）