arxiv
PublishedJuly 28, 2026 at 4:00 AM
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NeurGO: Learning to Generate Elite Candidates for Meta-Black-Box Expensive Optimization
Publisher summary· verbatim
arXiv:2607.23408v1 Announce Type: new Abstract: Expensive black-box optimization is ubiquitous in science and engineering, where function evaluations are costly and the evaluation budget is limited. Traditional evolutionary algorithms and Meta-BlackBox Optimization (MetaBBO) approaches typically con
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Originally published on arxiv ↗