papersSEP 10 04:00 UTC
Practical DIRECT-type algorithm proposed for medium-scale black-box global optimization
A new arXiv preprint presents a DIRECT-type algorithm aimed at extending deterministic global optimization to medium-scale black-box problems. Classic DIRECT methods are mostly effective in low dimensions and tend to converge slowly, so the authors focus on making the framework practical at larger scales. The method retains the balanced exploration-exploitation behavior that made DIRECT widely used.