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dc.contributor.authorDíaz Álvarez, Josefa
dc.contributor.authorCastillo Valdivieso, Pedro Ángel 
dc.date.accessioned2019-11-08T12:28:45Z
dc.date.available2019-11-08T12:28:45Z
dc.date.issued2018
dc.identifier.citationÁlvarez, J. D., Chávez, F. D. L. O., Castillo, P. A., García, J. A., & Rodriguez, F. J. (2018). A fuzzy rule-based system to predict energy consumption of genetic programming algorithms. Computer Science and Information Systems, 15(3), 635-654.es_ES
dc.identifier.urihttp://hdl.handle.net/10481/57787
dc.description.abstractIn recent years, the energy-awareness has become one of the most interesting areas in our environmentally conscious society. Algorithm designers have been part of this, particularly when dealing with networked devices and, mainly, when handheld ones are involved. Although studies in this area has increased, not many of them have focused on Evolutionary Algorithms. To the best of our knowledge, few attempts have been performed before for modeling their energy consumption considering different execution devices. In this work, we propose a fuzzy rulebased system to predict energy comsumption of a kind of Evolutionary Algorithm, Genetic Prohramming, given the device in wich it will be executed, its main parameters, and a measurement of the difficulty of the problem addressed. Experimental results performed show that the proposed model can predict energy consumption with very low error values.es_ES
dc.description.sponsorshipWe acknowledge support from Spanish Ministry of Economy and Competitiveness under projects TIN2014-56494-C4-[1,2,3]-P and TIN2017-85727-C4- [2,4]-P, Regional Government of Extremadura, Department of Commerce and Economy, conceded by the European Regional Development Fund, a way to build Europe, under the project IB16035, and Junta de Extremadura FEDER, projects GR15068 and GR15130.es_ES
dc.language.isoenges_ES
dc.publisherComSIS Consortiumes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectGreen computinges_ES
dc.subjectEnergy-aware computinges_ES
dc.subjectPerformance measurementses_ES
dc.subjectEvolutionary algorithmses_ES
dc.titleA Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithmses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.2298/CSIS180110026A


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