Effect of the cooling rate in the thermally driven differential mutation method

Abstract

The thermally driven differential mutation algorithm is an evolutionary algorithm dealing with the structural optimization of large amorphous systems represented by empirical potentials. It is a hybrid algorithm that combines a differential mutation evolutionary algorithm with a metropolis selection criterion and a cooling schedule inspired by simulated annealing. In this manuscript, the influence of the cooling rate on the quality of obtained amorphous graphene structures is discussed.