arXiv cs.NE
· Papers
A Survey of Features Used for Representing Black-box Single-objective Continuous Optimization
arXiv:2406.06629v2 Announce Type: replace-cross Abstract: This survey examines key advancements in designing features to represent optimization problem instances, algorithm instances, and their interactions within the context of single-objective continuous black-box optimization. These features support machine learning