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dc.contributor.authorUshie, OJ-
dc.contributor.authorAbbod, MF-
dc.contributor.authorOgbulezie, JC-
dc.identifier.citationInternational Journal of Engineering and Technology Innovation, 2017, 7 (4), pp. 255 - 268en_US
dc.description.abstract© TAETI. This paper introduces the use of Genetic Programming (GP), Genetic Folding and symbolic circuit analysis in Matlab for the evolution of passive filter circuits. Instead of combining MATLAB and PSPICE in electronic circuit simulation, in this work, only MATLAB is used. It helps to reduce elapsed time for transferring the simulation between the two software packages. The circuit evolved from GP using the Matlab program and is automatically converted into a symbolic netlist also by using a Matlab code. The netlist is fed into symbolic circuit analysis in Matlab (SCAM); the SCAM is used to generate matrices that are used for simulation. In this case, it is used to analyse frequency response of passive low-pass, high-pass and band-pass filter circuits. The algorithm is tested with four different examples and the results presented have proved that the algorithm is efficient concerning the design wise. The work has provided an alternative way of using GP for the evolution of passive filter circuits.en_US
dc.format.extent255 - 268-
dc.subjectGenetic Foldingen_US
dc.subjectGenetic Programmingen_US
dc.subjectPassive Filter Circuitsen_US
dc.subjectSymbolic Circuit Analysis in Matlaben_US
dc.titleThe use of Genetic Programming to evolve passive filter circuitsen_US
dc.relation.isPartOfInternational Journal of Engineering and Technology Innovation-
Appears in Collections:Dept of Mechanical Aerospace and Civil Engineering Research Papers

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