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作 者:LU Shaolei FANG Hao WEI Yue
机构地区:[1]Department of Automation, Beijing Institute of Technology
出 处:《Journal of Systems Science & Complexity》2018年第1期234-243,共10页系统科学与复杂性学报(英文版)
基 金:supported by Projects of Major International(Regional)Joint Research Program NSFC under Grant No.61720106011;the National Natural Science Foundation of China under Grant Nos.61573062,61621063,and 61673058;Program for Changjiang Scholars and Innovative Research Team in University under Grant No.IRT1208;Beijing Education Committee Cooperation Building Foundation Project under Grant No.2017CX02005;Beijing Advanced Innovation Center for Intelligent Robots and Systems(Beijing Institute of Technology);Key Laboratory of Biomimetic Robots and Systems(Beijing Institute of Technology),Ministry of Education,Beijing,China
摘 要:To improve the energy efficiency and load-balance in large-scale multi-agent systems, a large-scale distributed cluster algorithm is proposed. At first, a parameter describing the spatial distribution of agents is designed to assess the information spreading capability of an agent. Besides, a competition resolution mechanism is proposed to tackle the competition problem in large-scale multiagent systems. Thus, the proposed algorithm can balance the load, adjust the system network locally and dynamically, reduce system energy consumption. Finally, simulations are presented to demonstrate the superiority of the proposed algorithm.
关 键 词:Clustering algorithm distributed algorithm energy efficiency load-balance multi-agent system
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