Author

Handing Wang

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Sep 2026

Preference-Driven Surrogate-Assisted Evolutionary Multiobjective Feature Selection.

Enhancing the classification performance is more challenging than reducing the number of features in multiobjective feature selection. Such imbalance might lead the population to converge to a region on the Pareto front with a small number of features. Meanwhile, increasing the classification performance is time consum...

Zhen-Shou Song, Han-Ding Wang, Bing Xue et al. · Evolutionary Computation · 0 citations

#machine learning Preprint Sep 2026

Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization

Surrogate-assisted evolutionary algorithms (SAEAs) are effective methods for solving expensive optimization problems (EOPs), where surrogate models replace most expensive evaluations and critically influence the final optimization results. In recent years, tabular foundation models have advanced rapidly, and the Tabula...

Lu Han, Jin Wang, Yu-Cheng Li et al. · 0 citations