Linas Stripinis, Remigijus Paulavičius, “An empirical study of various candidate selection and partitioning techniques in the DIRECT framework”, J Glob Optim, 88, no. 3, 2024, 723
Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego, “Safe global optimization of expensive noisy black-box functions in the $\delta $-Lipschitz framework”, Soft Comput, 24, no. 23, 2020, 17715
Jiawei Wu, Zhenliang Jiang, Huaming Song, Liangqi Wan, Fu Huang, “Parallel efficient global optimization method: A novel approach for time-dependent reliability analysis and applications”, Expert Systems with Applications, 184, 2021, 115494
Linas Stripinis, Remigijus Paulavičius, “Review and Computational Study on Practicality of Derivative-Free DIRECT-Type Methods”, Informatica, 2024, 1
Vaidas Jusevičius, Richard Oberdieck, Remigijus Paulavičius, “Experimental Analysis of Algebraic Modelling Languages for Mathematical Optimization”, Informatica, 2021, 283
Linas Stripinis, Remigijus Paulavičius, “Experimental Study of Excessive Local Refinement Reduction Techniques for Global Optimization DIRECT-Type Algorithms”, Mathematics, 10, no. 20, 2022, 3760
Dmitri E. Kvasov, Marat S. Mukhametzhanov, Maria Chiara Nasso, Yaroslav D. Sergeyev, 11974, Numerical Computations: Theory and Algorithms, 2020, 413
Coralia Cartis, Lindon Roberts, Oliver Sheridan-Methven, “Escaping local minima with local derivative-free methods: a numerical investigation”, Optimization, 71, no. 8, 2022, 2343
Vladimir Grishagin, Ruslan Israfilov, Yaroslav Sergeyev, “Convergence conditions and numerical comparison of global optimization methods based on dimensionality reduction schemes”, Applied Mathematics and Computation, 318, 2018, 270
Linas Stripinis, Remigijus Paulavičius, Derivative-free DIRECT-type Global Optimization, 2023, 21