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Employing Hypergraphs for Efficient Coalition Formation with Application to the V2G Problem

机译:使用应用于V2G问题的高效联盟形成的超图

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This paper proposes, for the first time in the literature, the use of hypergraphs for the efficient formation of effective coalitions. We put forward several formation methods that build on existing hypergraph algorithms, and exploit hypergraph structure to identify agents with desirable characteristics. Our approach allows the near-instantaneous formation of high quality coalitions, while adhering to multiple stated requirements regarding coalition quality. Moreover, our methods are shown to scale to dozens of thousands of agents within fractions of a second; with one of them scaling to even millions of agents within seconds. We apply our approach to the problem of forming coalitions to provide (electric) vehicle-to-grid (V2G) services. Ours is the first approach able to deal with large-scale, real-time coalition formation for the V2G problem, while taking multiple criteria into account for creating electric vehicle coalitions.
机译:本文提出,在文献中首次提出,使用超图来实现有效形成有效联盟。 我们提出了几种在现有的超图算法上构建的形成方法,并利用超图形结构来识别具有所需特性的代理。 我们的方法允许高质量联盟的近瞬间形成,同时遵守与联盟质量的多个规定的要求。 此外,我们的方法显示在一秒钟内的分数内缩小到数十万种剂; 在几秒钟内,其中一个人缩放到数百万代理商。 我们将我们的方法应用于形成联盟的问题,以提供(电动)车辆到网格(V2G)服务。 我们的第一种能够为V2G问题处理大规模,实时联盟形成的第一种方法,同时考虑到创建电动汽车联盟的多项标准。

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