MATEC Web Conf.
Volume 259, 20192018 6th International Conference on Traffic and Logistic Engineering (ICTLE 2018)
|Number of page(s)||5|
|Section||Transportation and Path Planning|
|Published online||25 January 2019|
Hyperparameter search in periodic vehicle routing problem
1 IT4Innovations National Supercomputing Center, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava, Czech Republic
2 Dalle Molle Institute for Artificial Intelligence (IDISA, USI/SUPSI), Galleria 2, 6928 Manno, Switzerland
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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