Robust electronic circuit design using evolutionary and Taguchi methods

 

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dc.contributor.advisor Greene, John R en_ZA
dc.contributor.author Owadally, Muhammud Asaad en_ZA
dc.date.accessioned 2016-09-14T12:56:19Z
dc.date.available 2016-09-14T12:56:19Z
dc.date.issued 1997 en_ZA
dc.identifier.citation Owadally, M. 1997. Robust electronic circuit design using evolutionary and Taguchi methods. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/21761
dc.description Bibliography: pages 80-81. en_ZA
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Electrical Engineering en_ZA
dc.title Robust electronic circuit design using evolutionary and Taguchi methods en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering & the Built Environment en_ZA
dc.publisher.department Department of Electrical Engineering en_ZA
dc.type.qualificationlevel Masters en_ZA
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image


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