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Hyperparameter search in periodic vehicle routing problem

机译:周期性车辆路径问题中的超参数搜索

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The large number of real-world applications have shown that the use of computational method for distribution process planning produces substantial savings. Many of these applications lead to problem generally known as Vehicle Routing Problem. The real-world applications are highly computationally demanding for larger instances. This article aims to show the possibilities and benefits of using hyperparameter search for solving the Periodic Vehicle Routing Problem for exhausted oil collection by execution on the supercomputing infrastructure using HyperLoom platform. HyperLoom is an open source platform for defining and executing scientific pipelines in a distributed environment. This experiment was run on the supercomputer Salomon operated by IT4Innovations.
机译:大量的实际应用表明,将计算方法用于配电过程计划可节省大量成本。这些应用中的许多导致通常称为“车辆路线问题”的问题。实际应用程序对大型实例的计算要求很高。本文旨在展示通过使用HyperLoom平台在超级计算基础架构上执行,使用超参数搜索来解决废油收集的周期性车辆路径问题的可能性和益处。 HyperLoom是一个开源平台,用于在分布式环境中定义和执行科学管道。该实验在由IT4Innovations操作的超级计算机Salomon上运行。

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