In this article, we use differential evolution (DE) algorithms for the first time in the prediction of critical points of thermodynamic mixtures. Despite the name, DE algorithms are direct search populational techniques that do not use derivatives. We work with four different versions of DE algorithms and propose a variant for calculating more than one critical point. The differential evolution algorithms are tested on several multicomponent systems, and the new variant is capable of obtaining multiple solutions on different petroleum fluids.