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Vitor V. Negreiros

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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