A multi-agent negotiation model applied in multi-objective optimization

	A multi-agent negotiation model applied in multi-objective optimization
	Shi, Chuan ; Luo, Jiewen ; Lin, Fen
	2006
发表期刊	AGENT COMPUTING AND MULTI-AGENT SYSTEMS
ISSN	0302-9743
卷号	4088 页码:305-314
摘要	Although both multi-objective optimization and agent technology gained a lot of interest during the last decade, many aspects of their functionality still remain open. This paper proposes the multi-agent negotiation model applied in multi-objective optimization. There are three types of agents in the system. The plan agent plans the global best benefit; the action agent plans the best benefit of the single objective; and the resource agent manages the common resource. The agents compete and cooperate to reach the global best benefit through their negotiation. The model is applied in evolutionary multi-objective optimization to realize its parallel and distributed computation, and the experiment on MAGE shows the model is effective.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000239626100030
出版者	SPRINGER-VERLAG BERLIN
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10775
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shi, Chuan
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100864, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100864, Peoples R China
推荐引用方式 GB/T 7714	Shi, Chuan,Luo, Jiewen,Lin, Fen. A multi-agent negotiation model applied in multi-objective optimization[J]. AGENT COMPUTING AND MULTI-AGENT SYSTEMS,2006,4088:305-314.
APA	Shi, Chuan,Luo, Jiewen,&Lin, Fen.(2006).A multi-agent negotiation model applied in multi-objective optimization.AGENT COMPUTING AND MULTI-AGENT SYSTEMS,4088,305-314.
MLA	Shi, Chuan,et al."A multi-agent negotiation model applied in multi-objective optimization".AGENT COMPUTING AND MULTI-AGENT SYSTEMS 4088(2006):305-314.