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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15789
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dc.contributor.authorChire Saire, Josimar Edinson-
dc.contributor.authorTúpac Valdivia, Yván Jesús-
dc.date.accessioned2019-01-29T22:19:50Z-
dc.date.available2019-01-29T22:19:50Z-
dc.date.issued2017-
dc.identifier.isbn9781509051052es_PE
dc.identifier.urihttp://repositorio.ucsp.edu.pe/handle/UCSP/15789-
dc.description.abstractThere are many Evolutionary Algorithms which main features are: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on randomness and follow a criteria using fitness like selector. The proposal uses probability density function according to best of initial population to sample new population and save better individuals iteratively. Then using centroid criteria sample for every dimension and get better individuals. It had good results with benchmark functions. A real application was performed with experiments in protein folding and it showed good results. © 2016 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
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-s2.0-85018172603&doi=10.1109%2fLA-CCI.2016.7885726&partnerID=40&md5=72c5c4a4284e6c8b7941f6fbcaf02bfbes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectArtificial intelligencees_PE
dc.subjectIterative methodses_PE
dc.subjectProbability density functiones_PE
dc.subjectProtein foldinges_PE
dc.subjectProteinses_PE
dc.subjectBenchmark functionses_PE
dc.subjectEvolutionary operationses_PE
dc.subjectInitial populationes_PE
dc.subjectParticle filteres_PE
dc.subjectPDF estimationes_PE
dc.subjectQuantum inspired evolutionary algorithmes_PE
dc.subjectReal applicationses_PE
dc.subjectEvolutionary algorithmses_PE
dc.titleFP-AK-QIEAR-R in protein folding applicationes_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.identifier.doi10.1109/LA-CCI.2016.7885726es_PE
Appears in Collections:Artículos de investigación

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