A dynamic multi-objective optimization evolutionary algorithm based on hybrid initialization and ensemble model prediction strategy
The experimental results show that the proposed DMOEA based on innovative hybrid initialization and ensemble prediction strategy, coupled with dynamic mutation adjustment not only responds quickly to dynamic environmental changes, but also achieves outstanding results in convergence and diversity.