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.
Hyperparameter search in periodic vehicle routing problem / Grakova, Ekaterina; Golasowski, Martin; Montemanni, Roberto; Slaninova, Katerina; Martinovivc, Jan; Jamal, JAFAR MOHAMMAD JEHAD A R; Janurova, Katerina; Salani, Matteo. - In: MATEC WEB OF CONFERENCES. - ISSN 2261-236X. - 259:(2019). (Intervento presentato al convegno ICITT 2018 tenutosi a Stockholm nel September 2018) [10.1051/matecconf/201925901003].
Hyperparameter search in periodic vehicle routing problem
Montemanni Roberto
;Jamal Jafar;
2019
Abstract
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.File | Dimensione | Formato | |
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