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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15787
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dc.contributor.authorNúñez-Humán, Jonathan Alexander-
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/15787-
dc.description.abstractThis work presents the modeling and implementation of a Hybrid Chemical Reactions Optimization that uses CRO operators to find good solutions, and heuristics to initialize the first population and mapping tasks in processors to solve the Multiprocessor task scheduling problem, taking into account the heterogeneity of the multiprocessor system. © 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-s2.0-85018168579&doi=10.1109%2fLA-CCI.2016.7885737&partnerID=40&md5=09a86933f7e48881b9a7e24fd1df25f4es_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.subjectChemical reactionses_PE
dc.subjectDistributed computer systemses_PE
dc.subjectHybrid systemses_PE
dc.subjectMultiprocessing systemses_PE
dc.subjectMultitaskinges_PE
dc.subjectScheduling algorithmses_PE
dc.subjectHeterogeneous environmentses_PE
dc.subjectMulti processor systemses_PE
dc.subjectMultiprocessor task schedulinges_PE
dc.subjectOptimizationes_PE
dc.titleMultiprocessor task scheduling on heterogeneous environments by a Hybrid Chemical Reactions Optimizationes_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.identifier.doi10.1109/LA-CCI.2016.7885737es_PE
Appears in Collections:Artículos de investigación

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