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Large-scale global optimization (LSGO) is known as one of the most challenging problem for evolutionary algorithms (EA). In this study, we have proposed a novel method of grouping variables for the cooperative coevolution (CC) framework (random adaptive grouping (RAG))). We have implemented the proposed approach in a new evolutionary algorithm (DECC-RAG), which uses the Self-adaptive Differential Evolution (DE) with Neighborhood Search (SaNSDE) as the core search technique. The RAG method isdoi:10.5220/0006903102710278 dblp:conf/icinco/VakhninS18 fatcat:ehxofkfh3nbtnev5g4ronfxhhu