Mikhail A. Posypkin, Yaroslav D. Sergeyev, “Efficient smooth minorants for global optimization of univariate functions with the first derivative satisfying the interval Lipschitz condition”, J Glob Optim, 2022
Chahinaz Chenouf, Mohamed Rahal, “On Hölder global optimization method using piecewise affine bounding functions”, Numer Algor, 94, no. 2, 2023, 905
Yaroslav D. Sergeyev, Maria Chiara Nasso, Daniela Lera, “Numerical methods using two different approximations of space-filling curves for black-box global optimization”, J Glob Optim, 88, no. 3, 2024, 707
Stefano De Blasi, Alexander Gepperth, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, 220
Antonio Candelieri, Andrea Ponti, Francesco Archetti, 13621, Learning and Intelligent Optimization, 2022, 232
Linas Stripinis, Remigijus Paulavičius, “A new DIRECT-GLh algorithm for global optimization with hidden constraints”, Optim Lett, 15, no. 6, 2021, 1865
N. K. Arutyunova, A. M. Dulliev, V. I. Zabotin, “Global optimization of multivariable functions satisfying the Vanderbei condition”, J. Appl. Math. Comput., 68, no. 2, 2022, 1135
Yaroslav D. Sergeyev, Maria Chiara Nasso, Marat S. Mukhametzhanov, Dmitri E. Kvasov, “Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives”, Journal of Computational and Applied Mathematics, 383, 2021, 113134
Antonio Candelieri, Dmitri E. Kvasov, Yaroslav D. Sergeyev, Encyclopedia of Optimization, 2023, 1
Daniela Lera, Maria Chiara Nasso, Mikhail Posypkin, Yaroslav D. Sergeyev, “Determining solution set of nonlinear inequalities using space-filling curves for finding working spaces of planar robots”, J Glob Optim, 2024