Performance and emission optimization of diesel engine by single and multi-objective genetic algorithms

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dc.contributor.authorTütüncü, Kemal
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T18:06:10Z
dc.date.available2020-03-26T18:06:10Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description11th International Conference on Computer Systems and Technologies, CompSysTech'10 -- 17 June 2010 through 18 June 2010 -- Sofia -- 81605en_US
dc.description.abstractIn this study, single and also multi-objective (MO) genetic algorithms (GAs) were used for optimisation of performance and emissions of a diesel engine. Population space and initial population of both GAs were obtained by Artificial Neural Network (ANN). Specific fuel consumption (Sfc), NO x, power (P), torque (Tq) and air-flow rate (Afr) were reduced to %7.7, %8.51, %30, %4 and %7.4 respectively whereas HC increased at the rate of %10.5 by traditional single objective GA. HC, CO2, P and Sfc were reduced to %17.6, %30.05, %31.8 and %14.5 respectively whereas NOx increased at the rate of %13 by using multiobjective GA with Nondominated Sorting Genetic Algorithm II (NSGA II). %14.5 fuel reduction against %31 power reduction have never been obtained in the previous studies. This shows the effective usage of MOGA with NSGA II in optimisation of fuel diesel engine performance parameters. Copyright © 2010 ACM.en_US
dc.identifier.doi10.1145/1839379.1839415en_US
dc.identifier.endpage204en_US
dc.identifier.isbn9.78145E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage197en_US
dc.identifier.urihttps://dx.doi.org/10.1145/1839379.1839415
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25639
dc.identifier.volume471en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofACM International Conference Proceeding Seriesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectANNen_US
dc.subjectDiesel engine performanceen_US
dc.subjectMulti-objective genetic algorithmen_US
dc.subjectNSGA IIen_US
dc.subjectOptimizationen_US
dc.titlePerformance and emission optimization of diesel engine by single and multi-objective genetic algorithmsen_US
dc.typeConference Objecten_US

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