arXiv cs.NE
· Papers
Confidence-based Ranking with Adaptive Sampling for Noisy Black-Box Optimisation
arXiv:2607.14936v1 Announce Type: new Abstract: Real-world optimization problems often involve black-box functions and uncertainties in their evaluation, widely referred to as noisy optimization problems (NOPs). Evolutionary algorithms (EA), including Evolutionary Strategies (ES) and genetic algorithms (GA) have been c