标题:An evolutionary framework for multi-agent organizations
作者:Li, Boyang ;Yu, Han ;Shen, Zhiqi ;Cui, Lizhen ;Lesser, Victor R.
作者机构:[Li, Boyang ] Georgia Institute of Technology, Atlanta; GA, United States;[Yu, Han ;Shen, Zhiqi ] Joint NTU-UBC Research Centre of Excellence in Activ 更多
会议名称:2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015
会议日期:6 December 2015 through 9 December 2015
来源:Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015
出版年:2016
卷:2
页码:35-38
DOI:10.1109/WI-IAT.2015.45
关键词:Agent organization; Evolutionary computing
摘要:The organizational design of a multi-agent system (MAS) is important for its efficiency, adaptability and robustness. However, finding suitable organizational structures for different MASs is a challenging problem. In this paper, we propose a Framework of Evolutionary Optimization for Agent Organizations (FEVOR) based on Genetic Programming for optimizing tree-structured MASs. FEVOR employs a flexible representation of organizations and may be applied to a wide range of organizational forms such as pure hierarchies, holarchies, and federations. Compared to existing work, FEVOR is capable of efficient quantitative search and less vulnerable to stalling at local optima due to its non-greedy nature. Extensive experiments for optimizing an information retrieval system have been conducted to demonstrate the advantages of FEVOR in generating suitable MAS organizations for adaptive environments. © 2015 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028297412&doi=10.1109%2fWI-IAT.2015.45&partnerID=40&md5=186073fce5b6c7d5a1961ac63743f46a
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