Open access
2026
An Auto-Tuned Surrogate-Assisted Algorithm Based on Principal Component Analysis (PCA) and Partial Least Squares (PLS) Regression Space Projection Strategies for High-Dimensional Expensive Problems
The proposed methods achieve better results compared to SAEAs such as DSP-SAEA, ESPSO, ESAO, SAMSO, GL-SADE, MLSAO, and CSRSA, particularly for problems with 300, 500, and 1,000 variables.
Vitor V. Negreiros, Lucas S. Batista
· IEEE Access · 0 citations