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A centre-free approach for resource allocation with lower bounds

机译:具有较低限制的资源分配的无中心方法

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摘要

Since complexity and scale of systems are continuously increasing, there is a growing interest in developing distributed algorithms that are capable to address information constraints, specially for solving optimisation and decision-making problems. In this paper, we propose a novel method to solve distributed resource allocation problems that include lower bound constraints. The optimisation process is carried out by a set of agents that use a communication network to coordinate their decisions. Convergence and optimality of the method are guaranteed under some mild assumptions related to the convexity of the problem and the connectivity of the underlying graph. Finally, we compare our approach with other techniques reported in the literature, and we present some engineering applications.
机译:由于系统的复杂性和规模不断增加,因此对开发能够解决信息限制的分布式算法存在越来越大的兴趣,特别是解决优化和决策问题。 在本文中,我们提出了一种解决包括下限约束的分布式资源分配问题的新方法。 优化过程由一组使用通信网络来协调其决策的一组代理进行。 在与问题的凸起和底层图的连接相关的一些温和的假设下,保证了该方法的收敛性和最优性。 最后,我们将我们的方法与文献中报告的其他技术进行了比较,我们提供了一些工程应用。

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