The cooperative coevolution framework has been used extensively to solve large scale global optimization problems. Recently, the framework is used in CC-RDG3 where it uses recursive differential grouping and covariance matrix adaptation evolution strategies (CMA-ES). It was shown that the algorithm performs well on the CEC2013-LSGO benchmark functions. In this study, some modifications to the CC-RDG3 algorithm are proposed to improve performance. The modifications should be applied differently depending on the modality of the problem at hand.