Robust electronic circuit design using evolutionary and Taguchi methods

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dc.contributor.advisorGreene, John Ren_ZA
dc.contributor.authorOwadally, Muhammud Asaaden_ZA
dc.date.accessioned2016-09-14T12:56:19Z
dc.date.available2016-09-14T12:56:19Z
dc.date.issued1997en_ZA
dc.descriptionBibliography: pages 80-81.en_ZA
dc.description.abstractIn engineering, there is a wide range of applications where genetic optimizers are used. Two genetic optimizers used in this thesis namely, Population Based Incremental Learning ( PBIL ) and Cross generational selection Heterogeneous crossover Cataclysmic mutation ( CHC ), are tested on a series of circuit problems to fmd if robust electronic circuits can be built from evolutionary methods. The evolutionary algorithms were used to search the space of discrete component values from a range of manufactured preferred values to obtain robust electronic circuits. Parasitic effects were also modelled in the simulation to provide for a more realistic circuit.en_ZA
dc.identifier.apacitationOwadally, M. A. (1997). <i>Robust electronic circuit design using evolutionary and Taguchi methods</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/21761en_ZA
dc.identifier.chicagocitationOwadally, Muhammud Asaad. <i>"Robust electronic circuit design using evolutionary and Taguchi methods."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1997. http://hdl.handle.net/11427/21761en_ZA
dc.identifier.citationOwadally, M. 1997. Robust electronic circuit design using evolutionary and Taguchi methods. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Owadally, Muhammud Asaad AB - In engineering, there is a wide range of applications where genetic optimizers are used. Two genetic optimizers used in this thesis namely, Population Based Incremental Learning ( PBIL ) and Cross generational selection Heterogeneous crossover Cataclysmic mutation ( CHC ), are tested on a series of circuit problems to fmd if robust electronic circuits can be built from evolutionary methods. The evolutionary algorithms were used to search the space of discrete component values from a range of manufactured preferred values to obtain robust electronic circuits. Parasitic effects were also modelled in the simulation to provide for a more realistic circuit. DA - 1997 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1997 T1 - Robust electronic circuit design using evolutionary and Taguchi methods TI - Robust electronic circuit design using evolutionary and Taguchi methods UR - http://hdl.handle.net/11427/21761 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/21761
dc.identifier.vancouvercitationOwadally MA. Robust electronic circuit design using evolutionary and Taguchi methods. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1997 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/21761en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleRobust electronic circuit design using evolutionary and Taguchi methodsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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