The Genetic Algorithm (GA) is a branch of evolutionary algorithms that has been proving power and success as astrategy to optimize various problems, but they may suffer fromthe slow and premature convergence of results, impacting thefinal efficiency obtained. In this perspective, variants of the GAare being developed, seeking to obtain greater convergence andprecision of results. This work proposes the Recombination byTransformation Genetic Algorithm (RTGA) that brings a newgenetic operator based on recombination by transformation ofbacteria. The same was compared with other variants of the AGin the optimization of four evaluation functions and it obtainedall the best overall optimum.