Cooperative differential evolution with fast variable interdependence learning and cross-cluster mutation

Hongwei Ge, Liang Sun, Xin Yang, Shinichi Yoshida, Yanchun Liang

Abstract: Highlights•We propose a cooperative approach for numerical optimization.•A fast operator is proposed to capture the interdependencies among variables.•Problem decomposition is performed based on the interdependencies.•A cross-cluster mutation is proposed to optimize the subproblems.•This approach is effective for large scale optimization problems.