4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.NE2024
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Black-box optimization problems, which are common in many real-world applications, require optimization through input-output interactions without access to internal workings. This…
cs.NE2023★ 4 cited
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Surrogate-assisted evolutionary algorithms (SAEAs) hold significant importance in resolving expensive optimization problems~(EOPs). Extensive efforts have been devoted to improving…