The Use of Genetic Programming to Evolve Passive Filter Circuits


  • Ogri J. Ushie
  • Maysam F. Abbod
  • Julie C. Ogbulezie


genetic folding, genetic programming, netlist, passive filter circuits, symbolic circuit analysis in Matlab


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.


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How to Cite

O. J. Ushie, M. F. Abbod, and J. C. Ogbulezie, “The Use of Genetic Programming to Evolve Passive Filter Circuits”, Int. j. eng. technol. innov., vol. 7, no. 4, pp. 255–268, Sep. 2017.