7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.NE2026
An Evolutionary Framework for Automatic Optimization Benchmark Generation via Large Language Models
Yuhiro Ono, Tomohiro Harada, Yukiya Miura
Optimization benchmarks play a fundamental role in assessing algorithm performance; however, existing artificial benchmarks often fail to capture the diversity and irregularity of…
cs.NE2025★ 7 cited
Impact of Surrogate Model Accuracy on Performance and Model Management Strategy in Surrogate-Assisted Evolutionary Algorithms
Yuki Hanawa, Tomohiro Harada, Yukiya Miura
Surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. Although SAEAs use surrogate models that approximate the evaluations…