23 citations · 57 across the 5 of their papers we have counts for
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An extensive numerical benchmark study of deterministic vs. stochastic derivative-free global optimization algorithms
Linas Stripinis, Remigijus Paulavičius
Research in derivative-free global optimization is under active development, and many solution techniques are available today. Therefore, the experimental comparison of previous an…
Lipschitz-inspired HALRECT Algorithm for Derivative-free Global Optimization
Linas Stripinis, Remigijus Paulavičius
This article considers a box-constrained global optimization problem for Lipschitz-continuous functions with an unknown Lipschitz constant. Motivated by the famous DIRECT (DIviding…
An empirical study of various candidate selection and partitioning techniques in the DIRECT framework
Linas Stripinis, Remigijus Paulavičius
Over the last three decades, many attempts have been made to improve the DIRECT (DIviding RECTangles) algorithm's efficiency. Various novel ideas and extensions have been suggested…
DIRECTGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization
Linas Stripinis, Remigijus Paulavičius
In this work, we introduce DIRECTGO, a new MATLAB toolbox for derivative-free global optimization. DIRECTGO collects various deterministic derivative-free DIRECT-type algorithms fo…