If Differential Evolution (DE) is applied to multi‐objective optimization problems, some of its features like automatic problem‐specific step‐size adaptation gets lost. This can be resolved by modifying the DE equations. Three strategies are proposed and compared with existing algorithms. It is shown, that the proposed strategies deliver a superior convergence and preserve the positive characteristics of DE known from solving mono‐objective optimization problems. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)