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dc.contributor.authorLuna, Francisco
dc.contributor.authorZavala, Gustavo R.
dc.contributor.authorNebro, Antonio J.
dc.contributor.authorDurillo, Juan J.
dc.contributor.authorCoello Coello, Carlos A.
dc.date.accessioned2013-12-18T13:35:23Z
dc.date.available2013-12-18T13:35:23Z
dc.date.issued2013-12-18
dc.identifier.urihttp://hdl.handle.net/10630/6815
dc.description.abstractThis paper addresses a real-world optimization problem in civil engineering. It lies in the dimensioning of a 162m long bridge composed of 1584 bars so that both its weight and its deformation are to be minimized. Evaluating each possible configuration of the bridge takes several seconds and, as a consequence, running a metaheuristic for several thousands of evaluations would require many days on one single processor. Our approach has been to develop a distributed master/worker version of SMS-EMOA, an indicator-based multiobjective algorithm. By combining the Java implementation of the algorithm in jMetal with the Condor distributed scheduler, we have been able to use more than 350 cores to obtain accurate results in a reasonable amount of time.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectOptimización de estructurases_ES
dc.subject.otherStructural optimizationes_ES
dc.subject.otherMetaheuristicses_ES
dc.subject.otherMulti-objective optimizationes_ES
dc.subject.otherDistributed computinges_ES
dc.titleSolving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithmes_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitle2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2013es_ES
dc.relation.eventplaceCompiegne, Franciaes_ES
dc.relation.eventdate28-30 octubre de 2013es_ES


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