Robust electronic circuit design using evolutionary and Taguchi methods

Master Thesis

1997

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http://hdl.handle.net/11427/21761
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thesis_ebe_1997_owadally_muhammud_asaad.pdf (1.96 MB)
Authors
Owadally, Muhammud Asaad
Supervisors
Greene, John R
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University of Cape Town

Department
Department of Electrical Engineering
Faculty
Faculty of Engineering and the Built Environment
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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.
Description

Bibliography: pages 80-81.

Keywords
Electrical Engineering

Reference:

Owadally, M. 1997. Robust electronic circuit design using evolutionary and Taguchi methods. University of Cape Town.

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