4 citations · 9 across the 4 of their papers we have counts for
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cs.LG2025★ 3 cited
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization
Xian-Rong Zhang, Yue-Jiao Gong, Zhiguang Cao +1
In recent years, there has been a growing interest in data-driven evolutionary algorithms (DDEAs) employing surrogate models to approximate the objective functions with limited dat…
cs.LG2025★ 4 cited
Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study
Xian-Rong Zhang, Yue-Jiao Gong, Yuan-Ting Zhong +2
In many-task optimization scenarios, surrogate models are valuable for mitigating the computational burden of repeated fitness evaluations across tasks. This study proposes a novel…