Empirical Genetic Algorithm Parameter Tuning Concerning the Synthesis of Combinational Logic Circuits
Joshua Ward · 2017
This study identifies optimal parameter values for a genetic algorithm used in the synthesis of combinational logic circuits. Parameters used to obtain an initial solution circuit are examined as well as parameters used to optimize solution circuits. Finding an initial solution circuit was done using a fitness function that was less influential while optimizing solution circuits used a stronger fitness function. This allowed parameters to be studied under very different circumstances. It was discovered that parameters which maintained a higher genetic diversity and strayed farther from the concept of "Survival of the Fittest" produced better results in general.