带有目标偏好的最大成功联盟生成算法<sup>*</sup>

doi:10.16451/j.cnki.issn1003-6059.201706002

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Abstract In the traditional research on coalitional resource games(CRGs), it is assumed that an agent can respond to any goal, even if the agent is not interested in the goal at all. In this paper, a natural variation of CRGs with goals preferences is discussed. An agent only contributes its resources to the goals in its own goal (or interest) set. For this purpose, an improved CRGs model is firstly proposed on the basis of goals preferences. Moreover, a two-dimensional binary encoding based algorithm for maximal successful coalition (MAXSC) generation is designed and a heuristic algorithm is developed to resolve the potential conflicts of agents scrambling for scarce resources. Finally, the proposed approach is compared with the previous algorithms for the MAXSC problem.The results demonstrate the effectiveness of the proposed approach.

Key words： Coalitional Resource Games(CRGs) Goals Preferences Maximal Successful Coalition Heuristic algorithm

Received: 29 December 2016

ZTFLH:

TP 181

Fund:Supported by National Natural Science Foundation of China(No.61573125,61371155), Natural Science Foundation of Anhui Pro-vince(No.1608085MF131,1508085MF132,1508085QF129)

About author:: (ZHANG Guofu(Corresponding author), born in 1979, Ph.D., associate professor. His research interests include complex systems, coalitional games and computational intelligence.)
(DU Xiaodong, born in 1992, master student. Her research interests include multi-agent systems and evolutionary computation.)
(SU Zhaopin, born in 1983, Ph.D., associate professor. Her research interests include evolutionary computation, disaster emergency decision-making and multimedia security.)
(JIANG Jianguo, born in 1955, master, professor. His research interests include distributed intelligent systems and digital image processing and analysis.)

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	ZHANG Guofu
	DU Xiaodong
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Cite this article:

ZHANG Guofu,DU Xiaodong,SU Zhaopin等. Algorithm for Maximal Successful Coalition Generation with Goals Preferences[J]. , 2017, 30(6): 489-498.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201706002 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2017/V30/I6/489

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