Group Working Differential Evolution
Takatoshi Niwa, Koya Ihara, Shōhei Kato · 2020
Cooperative Coevolution (CC) is a method of improving the efficiency of evolutionary computation. Decision variables are divided into several species and the optimization is performed in each species. Search does not work in CC without properly dividing decision variables. In this paper, we combine the evaluation method of CC that can be searched without properly dividing the decision variables with Differential Evolution. The effectiveness of the search performance was evaluated using four benchmark functions, and the effectiveness was confirmed in the functions that have a dependency between variables.