An Expensive Many-Objective Optimization Algorithm Based on Hierarchical Uncertainty Weighted Ensemble and Adaptive Filling Strategy
To address the challenges of surrogate model inaccuracy, imbalanced sample distribution, and difficulties in balancing exploration and exploitation posed by expensive evaluation costs and high-dimensional objective spaces in expensive many-objective optimization problems, this paper proposes a hierarchical integrated d...