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The Research of Multi-Agent System Task Allocation Based on Auction

机译:基于拍卖的多功能系统任务分配研究

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Multi-Agent System (MAS) can be used in emergency rescue in traffic monitor and aviation field etc. It has been a hot spot about how to control the isomerous rescue robot team Multi-Agent System to finish the rescue task efficiently in the shortest time according to the task allocation based on the spot environment and existing resource now. In this thesis, a modified Multi-Agent task allocation algorithm based on auction is introduced, in the algorithm, robots act as agents to constitute the emergency rescue system, and it can realize the cooperation of Multi-Agent Robots to finish the rescue tasks with various of levels and kinds by the optimized task allocation
机译:多助手系统(MAS)可用于交通监控器和航空场等紧急救援等。它是如何控制异常救援机器人团队多功能机构的热点,以便在最短的时间内有效地完成救援任务根据基于现货环境和现有资源的任务分配。在本文中,在算法中引入了一种基于拍卖的修改的多代理任务分配算法,机器人充当代理来构成紧急救援系统,可以实现多特工机器人的合作完成救援任务优化任务分配的各种级别和种类

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