26 citations to 10.1007/s00500-020-05030-3 (Crossref Cited-By Service)
  1. 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  crossref
  2. Chahinaz Chenouf, Mohamed Rahal, “On Hölder global optimization method using piecewise affine bounding functions”, Numer Algor, 94, № 2, 2023, 905  crossref
  3. 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  crossref
  4. Stefano De Blasi, Alexander Gepperth, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, 220  crossref
  5. Antonio Candelieri, Andrea Ponti, Francesco Archetti, 13621, Learning and Intelligent Optimization, 2022, 232  crossref
  6. Linas Stripinis, Remigijus Paulavičius, “A new DIRECT-GLh algorithm for global optimization with hidden constraints”, Optim Lett, 15, № 6, 2021, 1865  crossref
  7. 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  crossref
  8. 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  crossref
  9. Antonio Candelieri, Dmitri E. Kvasov, Yaroslav D. Sergeyev, Encyclopedia of Optimization, 2023, 1  crossref
  10. 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  crossref
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