Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/61014
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Rocha, Ana Maria A. C. | por |
dc.contributor.author | Costa, M. Fernanda P. | por |
dc.contributor.author | Fernandes, Edite Manuela da G. P. | por |
dc.date.accessioned | 2019-07-25T12:26:41Z | - |
dc.date.available | 2019-07-25T12:26:41Z | - |
dc.date.issued | 2019 | - |
dc.identifier.isbn | 9780735417984 | por |
dc.identifier.issn | 0094-243X | - |
dc.identifier.uri | https://hdl.handle.net/1822/61014 | - |
dc.description.abstract | This paper presents a stochastic coordinate descent algorithm for solving bound constrained global optimization problems. The algorithm borrows ideas from some stochastic optimization methods available for the minimization of expected and empirical risks that arise in large-scale machine learning. Initially, the algorithm generates a population of points although only a small subpopulation of points is randomly selected and moved at each iteration towards the global optimal solution. Each point of the subpopulation is moved along one component only of the negative gradient direction. Preliminary experiments show that the algorithm is effective in reaching the required solution. | por |
dc.description.sponsorship | This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within the projects UID/CEC/00319/2013 and UID/MAT/00013/2013. | por |
dc.language.iso | eng | por |
dc.publisher | American Institute of Physics | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147370/PT | por |
dc.rights | openAccess | por |
dc.title | A stochastic coordinate descent for bound constrained global optimization | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationVolume | 2070 | por |
dc.date.updated | 2019-07-25T11:54:34Z | - |
dc.identifier.doi | 10.1063/1.5089981 | por |
dc.subject.wos | Science & Technology | por |
sdum.export.identifier | 5394 | - |
sdum.journal | AIP Conference Proceedings | por |
sdum.conferencePublication | 14TH INTERNATIONAL GLOBAL OPTIMIZATION WORKSHOP (LEGO) | por |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Stochastic CDM for LeGO_revised.pdf | 112 kB | Adobe PDF | Ver/Abrir |