The distributed genetic algorithm used in the experiments so far has shown results inferior to other methods. This is possibly due to optimizing a small number of evaluation coefficient groups within GNUchess and using a small population size. The limited success may also be because of optimizing a limited number of parameters or that the original GNUchess evaluation coefficients are already close to optimal.