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赋权合作博弈中的可行联盟结构与收益分配 被引量:2

Feasible coalitional structure and profit distribution in a weighted cooperative game
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摘要 合作博弈的局中人由于投入或收益期望的不同,他们在联盟结构中往往具有不同的权重,因此本文提出赋权合作博弈问题。给出形成赋权合作博弈中可行联盟结构的规则:参与者为追求收益最大化而自发形成一个有加权平均最大收益的一级联盟,余下被排除在外的参与者再自发形成下一个有加权平均最大收益的二级联盟,以此类推,直至全部参与者均实现结盟。通过参与者在所有可行联盟结构中的收益确定其权益值,依此对最大联盟结构收益进行分配。最后通过一个算例验证了所提出的可行联盟结构及其收益分配方法的合理性,即参与者权益来源于个体之间的竞争,总收益最大化反映参与者全体的合作性。 Participants in a cooperative game usually have different weights in the coalitional structure because of different investments and income expectations, so this paper proposes weighted cooperative game problem. The rules to form a feasible coalitional structure in a weighted cooperative game are discussed. In order to maximize gain, a subset of players spontaneously forms a primary coalition (also called the first-level coalition) with the weighted averaged maximum gain. The remaining players spontaneously form a secondary coalition with the weighted averaged maximum revenue and so on until all players have joined the coalition. By determining the players' equity indexes via their profits in each feasible coalitional structure, revenue of the optimal coalitional structure is allocated. A study case demonstrates the rationality of the proposed feasible coalitional structure and profit distribution method. It shows that the rights and interests of players are from the competition among individuals and the overall maximum revenue reflects the cooperation of all players.
出处 《武汉科技大学学报》 CAS 北大核心 2015年第1期77-80,共4页 Journal of Wuhan University of Science and Technology
基金 湖北省自然科学基金资助项目(2013CFA131)
关键词 合作博弈 可行联盟结构 收益分配 cooperative game feasible coalitional structure profit distribution
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参考文献4

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同被引文献18

  • 1刘惊雷,童向荣,张伟.一种快速构建最优联盟结构的方法[J].计算机工程与应用,2006,42(4):35-37. 被引量:10
  • 2张新良,石纯一.多Agent联盟结构动态生成算法[J].软件学报,2007,18(3):574-581. 被引量:25
  • 3苏射雄,胡山立,林超峰,郑盛福.基于局部最优的联盟结构生成算法[J].计算机研究与发展,2007,44(2):277-281. 被引量:16
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  • 6Rahwan T,Jennings N R.An improved dynamic programming algorithm for coalition structure generation[C]//Proceedings of the 7th International Conference on Autonomous Agents and Multi-Agent Systems.Estoril:AAMAS,2008:1417-1420.
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  • 10Su She-Xiong, Hu Shan-Li, Zheng Sheng-Fu, et al. Coalition Structure Generation with Given Required Bound based on Cardinality Structure [ C]//Proceedings of the 6th International Conference on Machine Learning and Cybernetics. Hong Kong: ICMLC ,2007 : 2505 -2510.

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