Optimized DC-DC Boost Converter with Inverted Gamma Filter Based on Genetic Algorithm

In this paper, a genetic algorithm is used to optimize of a Direct Current to Direct Current boost converter with inverted-gamma filter. The objective is to reduce the electro-magnetic interference (EMI) produced from the non-linear elements by minimizing the control-to-output transfer function. The optimization was done using MATLAB/Global optimization toolbox for 3 different initial populations, each population was optimized using 5 different genetic algorithm operations, for a total of 16 options and 48 runs. Experimental results show that the proposed approach achieved an average fitness function value of (-234.87), which is 5.41% better fitness function value compared to a previous related work.