Sign inGet started
Paper · arXiv

A practical DIRECT-type algorithm for medium-scale black-box global optimization

The DIRECT algorithm is a deterministic global optimization method known for its versatility and balanced exploration-exploitation strategy. However, DIRECT-type algorithms are primarily effective for low-dimensional problems and often exhibit slow convergence as dimensionality increases, limiting their applicability to more complex optimization tasks. To address this limitation, this paper introduces X-DTC-GL, a novel DIRECT-type algorithm that incorporates dynamic partitioning and hybridization techniques. The dynamic partitioning approach adaptively refines the search space based on local one-dimensional surrogate models, enabling rapid subdivision of promising hyper-rectangles. The hy...

AuthorsLinas Stripinis, Remigijus Paulavičius
Primary categorycs.LG
Published9 September 2026
Last updated at source9 September 2026
cs.LGmath.NA
Embed this entry
<iframe src="https://silytics.si/embed/item/a5e6d872-e732-472a-b8c2-a90cd4b1d913" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.