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Collective optimization over average quantities

机译:平均数量上的集体优化

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This paper addresses the design of algorithms for the collective optimization of a cost function defined over average quantities in the presence of limited communication. We argue that several meaningful collective optimization problems can be formulated in this way. As an application of the proposed approach, we propose a novel algorithm that achieves synchronization or balancing in phase models of coupled oscillators under mild connectedness assumptions on the (possibly time-varying and unidirectional) communication graphs
机译:本文介绍了在存在有限通信的情况下在平均数量上定义的成本函数的集成函数的集体优化算法的设计。我们认为可以以这种方式制定几个有意义的集体优化问题。作为所提出的方法的应用,我们提出了一种新颖的算法,该算法在(可能的时变和单向)通信图对(可能时变)通信图上的轻度连接假设下耦合振荡器的相位模型中实现了同步或平衡

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