首页> 外文会议>Proceedings of the 2007 International Conference on Machine Learning and Cybernetics >COALITION STRUCTURE GENERATION WITH GIVEN REQUIRED BOUND BASED ON CARDINALITY STRUCTURE
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COALITION STRUCTURE GENERATION WITH GIVEN REQUIRED BOUND BASED ON CARDINALITY STRUCTURE

机译:基于基数结构的给定要求约束的联盟结构生成

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Coalition formation is a key topic in multi-agent systems.One may prefer a coalition structure that maximizes the sum of the values of the coalitions, but often the number of coalition structures is too large to allow exhaustive search for the optimal one.Furthermore, finding the optimal coalition structure is NP-hard.Thus emerges the meaningful problem: when practical applications can present required real bound on the worst case, and how to attain this demand via partial search? This paper reports on a novel algorithm based on cardinality structure: the bound K≥2 can be attained with searching of those coalition structures whose cardinality structure is in the CCS(n, K).Finally, experiments indicates the new algorithm is obviously better than existing algorithms.
机译:联盟形成是多主体系统中的关键主题。一个联盟结构可能会最大化联盟价值的总和,但联盟结构的数量通常太大,以至于无法穷举地寻找最优联盟。因此,出现了一个有意义的问题:当实际应用可以在最坏的情况下提供所需的实际界限时,如何通过局部搜索来满足这一需求?本文报道了一种基于基数结构的新算法:通过搜索基数结构在CCS(n,K)中的那些联盟结构,可以获得K≥2的界。最后,实验表明,新算法明显优于现有算法。

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