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New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem
We introduce new hybrid algorithms, DBSCAN Solver and Solution Partitioning Solver, which use quantum annealing for solving Vehicle Routing Problem (VRP) and its practical variant: Capacitated Vehicle Routing Problem (CVRP). Both algorithms contain important classical components, but we also present...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304725/ http://dx.doi.org/10.1007/978-3-030-50433-5_42 |
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author | Borowski, Michał Gora, Paweł Karnas, Katarzyna Błajda, Mateusz Król, Krystian Matyjasek, Artur Burczyk, Damian Szewczyk, Miron Kutwin, Michał |
author_facet | Borowski, Michał Gora, Paweł Karnas, Katarzyna Błajda, Mateusz Król, Krystian Matyjasek, Artur Burczyk, Damian Szewczyk, Miron Kutwin, Michał |
author_sort | Borowski, Michał |
collection | PubMed |
description | We introduce new hybrid algorithms, DBSCAN Solver and Solution Partitioning Solver, which use quantum annealing for solving Vehicle Routing Problem (VRP) and its practical variant: Capacitated Vehicle Routing Problem (CVRP). Both algorithms contain important classical components, but we also present two other algorithms, Full QUBO Solver and Average Partitioning Solver, which can be run only on a quantum processing unit (without CPU) and were prototypes which helped us develop better hybrid approaches. In order to validate our methods, we run comprehensive tests using D-Wave’s Leap framework on well-established benchmark test cases as well as on our own test scenarios built based on realistic road networks. We also compared our new quantum and hybrid methods with classical algorithms - well-known metaheuristics for solving VRP and CVRP. The experiments indicate that our hybrid methods give promising results and are able to find solutions of similar or even better quality than the tested classical algorithms. |
format | Online Article Text |
id | pubmed-7304725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73047252020-06-22 New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem Borowski, Michał Gora, Paweł Karnas, Katarzyna Błajda, Mateusz Król, Krystian Matyjasek, Artur Burczyk, Damian Szewczyk, Miron Kutwin, Michał Computational Science – ICCS 2020 Article We introduce new hybrid algorithms, DBSCAN Solver and Solution Partitioning Solver, which use quantum annealing for solving Vehicle Routing Problem (VRP) and its practical variant: Capacitated Vehicle Routing Problem (CVRP). Both algorithms contain important classical components, but we also present two other algorithms, Full QUBO Solver and Average Partitioning Solver, which can be run only on a quantum processing unit (without CPU) and were prototypes which helped us develop better hybrid approaches. In order to validate our methods, we run comprehensive tests using D-Wave’s Leap framework on well-established benchmark test cases as well as on our own test scenarios built based on realistic road networks. We also compared our new quantum and hybrid methods with classical algorithms - well-known metaheuristics for solving VRP and CVRP. The experiments indicate that our hybrid methods give promising results and are able to find solutions of similar or even better quality than the tested classical algorithms. 2020-05-25 /pmc/articles/PMC7304725/ http://dx.doi.org/10.1007/978-3-030-50433-5_42 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Borowski, Michał Gora, Paweł Karnas, Katarzyna Błajda, Mateusz Król, Krystian Matyjasek, Artur Burczyk, Damian Szewczyk, Miron Kutwin, Michał New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem |
title | New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem |
title_full | New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem |
title_fullStr | New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem |
title_full_unstemmed | New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem |
title_short | New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem |
title_sort | new hybrid quantum annealing algorithms for solving vehicle routing problem |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304725/ http://dx.doi.org/10.1007/978-3-030-50433-5_42 |
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