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- Chahinaz Chenouf, Mohamed Rahal, “On Hölder global optimization method using piecewise affine bounding functions”, Numer Algor, 94, № 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, № 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, № 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, № 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
