Show simple item record

dc.contributor.authorVázquez Pardo, Sergio
dc.contributor.authorMartín Santamaría, María José
dc.contributor.authorFraguela, Basilio B.
dc.contributor.authorGómez, Andrés
dc.contributor.authorRodríguez, Aurelio
dc.contributor.authorElvarsson, Bjarki Þór
dc.date.accessioned2018-07-11T13:56:26Z
dc.date.issued2016-11
dc.identifier.citationVázquez, S., Martín, M. J., Fraguela, B. B., Gómez, A., Rodriguez, A., & Elvarsson, B. Þ. (2016). Novel parallelization of simulated annealing and Hooke & Jeeves search algorithms for multicore systems with application to complex fisheries stock assessment models. Journal of Computational Science, 17, 599-608.es_ES
dc.identifier.issn1877-7503
dc.identifier.issn1877-7511
dc.identifier.urihttp://hdl.handle.net/2183/20899
dc.description.abstract[Abstract] Estimating parameters of a statistical fisheries assessment model typically involves a comparison of disparate datasets to a forward simulation model through a likelihood function. In all but trivial cases the estimations of these models tend to be time-consuming due to issues related to multi-modality and non-linearity. This paper develops novel parallel implementations of popular search algorithms, applicable to expensive function calls typically encountered in fisheries stock assessment. It proposes two versions of both Simulated Annealing and Hooke & Jeeves optimization algorithms with the aim of fully utilizing the processing power of common multicore systems. The proposals have been tested on a 24-core server using three different input models. Results indicate that the parallel versions are able to take advantage of available resources without sacrificing the quality of the solution.es_ES
dc.description.sponsorshipGalicia. Consellería de Cultura, Educación e Ordenación Universitaria; R2014/041es_ES
dc.language.isoenges_ES
dc.publisherElsevier Ltdes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/613571.es_ES
dc.relation.urihttps://doi.org/10.1016/j.jocs.2016.07.003es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectMarine ecosystemses_ES
dc.subjectGadgetes_ES
dc.subjectSimulated annealinges_ES
dc.subjectHooke & Jeeveses_ES
dc.subjectMulticore systemses_ES
dc.subjectOpenMPes_ES
dc.titleNovel parallelization of simulated annealing and Hooke & Jeeves search algorithms for multicore systems with application to complex fisheries stock assessment modelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/embargoedAccesses_ES
dc.date.embargoEndDate2018-12-01es_ES
dc.date.embargoLift2018-12-01
UDC.journalTitleJournal of Computational Sciencees_ES
UDC.volume17es_ES
UDC.issue3es_ES
UDC.startPage599es_ES
UDC.endPage608es_ES
dc.identifier.doi10.1016/j.jocs.2016.07.003


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record