Publicação
Towards a high-performance implementation of the MCSFilter optimization algorithm
| dc.contributor.author | Araújo, Leonardo Oliveira | |
| dc.contributor.author | Pacheco, Maria F. | |
| dc.contributor.author | Rufino, José | |
| dc.contributor.author | Fernandes, Florbela P. | |
| dc.date.accessioned | 2021-12-13T10:20:05Z | |
| dc.date.available | 2021-12-13T10:20:05Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Multistart Coordinate Search Filter (MCSFilter) is an optimization method suitable to find all minimizers – both local and global – of a non convex problem, with simple bounds or more generic constraints. Like many other optimization algorithms, it may be used in industrial con- texts, where execution time may be critical in order to keep a production process within safe and expected bounds. MCSFilter was first implemented in MATLAB and later in Java (which introduced a significant performance gain). In this work, a comparison is made between these two implementations and a novel one in C that aims at further performance improvements. For the comparison, the problems addressed are bound constraint, with small dimension (between 2 and 10) and multiple local and global solutions. It is possible to conclude that the average time execution for each problem is considerable smaller when using the Java and C implementa- tions, and that the current C implementation, though not yet fully optimized, already exhibits a significant speedup. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Araújo, Leonardo; Pacheco, Maria F.; Rufino, José; Fernandes, Florbela P. (2021). Towards a high-performance implementation of the MCSFilter optimization algorithm. In International Conference on Optimization, Learning Algorithms and Applications: book of abstracts. Bragança: Instituto Politécnico. ISBN 978-972-745-291-0 | pt_PT |
| dc.identifier.isbn | 978-972-745-291-0 | |
| dc.identifier.uri | http://hdl.handle.net/10198/24490 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Instituto Politécnico de Bragança | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Optimization | pt_PT |
| dc.subject | MCSFilter | pt_PT |
| dc.subject | Non-convex problems | pt_PT |
| dc.title | Towards a high-performance implementation of the MCSFilter optimization algorithm | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Instituto Politécnico de Bragança | pt_PT |
| oaire.citation.startPage | 35 | pt_PT |
| oaire.citation.title | OL2A 2021 - International Conference on Optimization, Learning Algorithms and Applications | pt_PT |
| person.familyName | Pacheco | |
| person.familyName | Rufino | |
| person.familyName | Fernandes | |
| person.givenName | Maria F. | |
| person.givenName | José | |
| person.givenName | Florbela P. | |
| person.identifier.ciencia-id | F319-DAC3-8F15 | |
| person.identifier.ciencia-id | C414-F47F-6323 | |
| person.identifier.ciencia-id | 501D-6FD0-CC53 | |
| person.identifier.orcid | 0000-0001-7915-0391 | |
| person.identifier.orcid | 0000-0002-1344-8264 | |
| person.identifier.orcid | 0000-0001-9542-4460 | |
| person.identifier.scopus-author-id | 36802474600 | |
| person.identifier.scopus-author-id | 55947199100 | |
| person.identifier.scopus-author-id | 35179471000 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | e56596ca-3238-4fde-ace1-abb363a222e8 | |
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| relation.isAuthorOfPublication | 1f7a9fde-7a4d-4b2c-8f9d-dab571163c33 | |
| relation.isAuthorOfPublication.latestForDiscovery | 1e24d2ce-a354-442a-bef8-eebadd94b385 |
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