Parameters analysis of QIEA-R in convergence quality

dc.contributor.authorChire Saire, Josimar Edinson
dc.contributor.authorTúpac Valdivia, Yván Jesús
dc.date.accessioned2019-01-29T22:19:51Z
dc.date.available2019-01-29T22:19:51Z
dc.date.issued2017
dc.description.abstractQIEA-R (Quantum Inspired Evolutionary Algorithm with Real Codification) was proposed for solving numerical problems obtaining better results when compared with traditional EAs, DE and PSO algorithms. It is inspired on the concept of quantum superposition in order to reduce the number of evaluations. QIEA-R has two important steps: initialization of the quantum population and updating of the quantum population. This paper analyzes these two steps and parameters related: Size of classical population, number of iterations, over some benchmark functions using statistical measurements to evaluate their importance and effect in convergence quality. The results shows the importance of quantum population size and update frequency. © 2016 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/ANDESCON.2016.7836209es_PE
dc.identifier.isbnurn:isbn:9781509025312es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15796
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015207479&doi=10.1109%2fANDESCON.2016.7836209&partnerID=40&md5=33c517c1030918e8d8689c86f1ee2231es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectBenchmarkinges_PE
dc.subjectPopulation statisticses_PE
dc.subjectQuality controles_PE
dc.subjectQuantum theoryes_PE
dc.subjectBenchmark functionses_PE
dc.subjectConvergence analysises_PE
dc.subjectNumber of iterationses_PE
dc.subjectNumerical problemses_PE
dc.subjectParameters analysises_PE
dc.subjectQuantum inspired evolutionary algorithmes_PE
dc.subjectQuantum populationes_PE
dc.subjectQuantum superpositionses_PE
dc.subjectEvolutionary algorithmses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleParameters analysis of QIEA-R in convergence qualityes_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
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