How to start a heuristic? Utilizing lower bounds for solving the quadratic assignment problem
dc.contributor.author | Matoušek, Radomil | cs |
dc.contributor.author | Dobrovský, Ladislav | cs |
dc.contributor.author | Kůdela, Jakub | cs |
dc.coverage.issue | 2 | cs |
dc.coverage.volume | 13 | cs |
dc.date.accessioned | 2022-01-11T11:54:33Z | |
dc.date.available | 2022-01-11T11:54:33Z | |
dc.date.issued | 2021-12-31 | cs |
dc.description.abstract | The Quadratic Assignment Problem (QAP) is one of the classical combinatorial optimization problems and is known for its diverse applications. The QAP is an NP-hard optimization problem which attracts the use of heuristic or metaheuristic algorithms that can find quality solutions in an acceptable computation time. On the other hand, there is quite a broad spectrum of mathematical programming techniques that were developed for finding the lower bounds for the QAP. This paper presents a fusion of the two approaches whereby the solutions from the computations of the lower bounds are used as the starting points for a metaheuristic, called HC12, which is implemented on a GPU CUDA platform. We perform extensive computational experiments that demonstrate that the use of these lower bounding techniques for the construction of the starting points has a significant impact on the quality of the resulting solutions. | en |
dc.format | text | cs |
dc.format.extent | 151-164 | cs |
dc.format.mimetype | application/pdf | cs |
dc.identifier.citation | International Journal of Industrial Engineering Computations. 2021, vol. 13, issue 2, p. 151-164. | en |
dc.identifier.doi | 10.5267/j.ijiec.2021.12.003 | cs |
dc.identifier.issn | 1923-2934 | cs |
dc.identifier.other | 175648 | cs |
dc.identifier.uri | http://hdl.handle.net/11012/203280 | |
dc.language.iso | en | cs |
dc.publisher | Growing Science | cs |
dc.relation.ispartof | International Journal of Industrial Engineering Computations | cs |
dc.relation.uri | http://www.growingscience.com/ijiec/Vol13/IJIEC_2021_33.pdf | cs |
dc.rights | Creative Commons Attribution 4.0 International | cs |
dc.rights.access | openAccess | cs |
dc.rights.sherpa | http://www.sherpa.ac.uk/romeo/issn/1923-2934/ | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | Heuristics | en |
dc.subject | Lower bounds | en |
dc.subject | Metaheuristics | en |
dc.subject | Quadratic assignment problem | en |
dc.subject | Starting values | en |
dc.title | How to start a heuristic? Utilizing lower bounds for solving the quadratic assignment problem | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
sync.item.dbid | VAV-175648 | en |
sync.item.dbtype | VAV | en |
sync.item.insts | 2022.03.02 12:54:42 | en |
sync.item.modts | 2022.03.02 12:15:05 | en |
thesis.grantor | Vysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automatizace a informatiky | cs |
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