Dynamic Adaptive Hierarchical N-Level Hierarchy Optimization for Electric Power System Problems

Many complex problems in the real world that contain a large number of constraints, especially circuit system problems. We design the Dynamic Adaptive Hierarchical N-Level Hierarchy Optimization (DAH-NLHO) algorithm based on the hierarchy affine of populations in nature. Its hierarchy levels can change dynamically and adaptively following the dimensionality of the problem and the number of constraints. Comparative tests were performed on top of the latest CEC2020 benchmark test set. The final experimental results demonstrate the effectiveness and feasibility of dynamic adaptive hierarchy levels.