Dmitri E. Kvasov
Orcid: 0000-0002-5067-4383
According to our database1,
Dmitri E. Kvasov
authored at least 26 papers
between 2003 and 2022.
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Bibliography
2022
A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization.
IEEE Trans. Evol. Comput., 2022
2021
Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives.
J. Comput. Appl. Math., 2021
Preface to the virtual special issue recent developments in applied mathematics and computation.
Appl. Math. Comput., 2021
2020
Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework.
Soft Comput., 2020
Globally-biased BIRECT algorithm with local accelerators for expensive global optimization.
Expert Syst. Appl., 2020
2019
Proceedings of the Numerical Computations: Theory and Algorithms, 2019
2018
On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales.
Commun. Nonlinear Sci. Numer. Simul., 2018
Appl. Math. Comput., 2018
Foreword to the special issue ''Recent Trends in Numerical Computations: Theory and Algorithms''.
Appl. Math. Comput., 2018
2017
Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms.
Math. Comput. Simul., 2017
Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017
2016
Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization.
J. Optim. Theory Appl., 2016
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016
2015
Commun. Nonlinear Sci. Numer. Simul., 2015
Guest editors' foreword to the special issue devoted to the international conference "Numerical computations: Theory and Algorithms" June 17-23, 2013, Falerna, Italy.
Appl. Math. Comput., 2015
Deterministic approaches for solving practical black-box global optimization problems.
Adv. Eng. Softw., 2015
2014
J. Glob. Optim., 2014
2013
Autom. Remote. Control., 2013
2012
Lipschitz gradients for global optimization in a one-point-based partitioning scheme.
J. Comput. Appl. Math., 2012
2011
Software for Generation of Classes of Test Functions with Known Local and Global Minima for Global Optimization
CoRR, 2011
2009
A univariate global search working with a set of Lipschitz constants for the first derivative.
Optim. Lett., 2009
2008
Multidimensional Lipschitz global optimization based on efficient diagonal partitions.
4OR, 2008
2007
A one-dimensional local tuning algorithm for solving GO problems with partially defined constraints.
Optim. Lett., 2007
2006
Global Search Based on Efficient Diagonal Partitions and a Set of Lipschitz Constants.
SIAM J. Optim., 2006
2003
Algorithm 829: Software for generation of classes of test functions with known local and global minima for global optimization.
ACM Trans. Math. Softw., 2003
Numerische Mathematik, 2003