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dc.contributor.authorJoan Arinyo, Robert
dc.contributor.authorLuzón, M.V.
dc.contributor.authorYeguas, E.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2016-05-12T07:56:41Z
dc.date.available2016-05-12T07:56:41Z
dc.date.issued2009-01
dc.identifier.citationJoan-Arinyo, R., Luzón, M., Yeguas, E. "A model to measure the performance of evolutionary algorithms applied to solve the root identification problem". 2009.
dc.identifier.urihttp://hdl.handle.net/2117/86986
dc.description.abstractThe existence of a model for representing the performance of metaheuristics applied to solve problems with high computational requirements is paramount to determine the solution quality given a certain avaliable run-time and vice versa. In this work, a statistical model is proposed to describe the performance of evolutionary algorithms applied to solve the Root Identification Problem. Given an unknown problem size, a parameter setting and a performance model are estimated for two well-known evolutionary algorithms, Population-Based Incremental Learning (PBIL) and Cross generational elitist selection Heterogeneus recombination and Cataclismic mutation (CHC). The performance model is validated over a benchmark corresponding to huge search spaces.
dc.format.extent44 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-09-4-R
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica
dc.subject.otherParameter optimization
dc.subject.otherPerformance model
dc.subject.otherEvolutionary algorithms
dc.titleA model to measure the performance of evolutionary algorithms applied to solve the root identification problem
dc.typeExternal research report
dc.rights.accessOpen Access
drac.iddocument1841102
dc.description.versionPostprint (published version)
upcommons.citation.authorJoan-Arinyo, R., Luzón, M., Yeguas, E.
upcommons.citation.publishedtrue


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