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ORCIDDmitri E. Kvasov
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2020 – today
- 2022
[j22]Yaroslav D. Sergeyev
, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization. IEEE Trans. Evol. Comput. 26(6): 1261-1270 (2022)- 2021
- [j21]Luigi Brugnano, Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Preface to the virtual special issue recent developments in applied mathematics and computation. Appl. Math. Comput. 409: 126023 (2021) - [j20]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. J. Comput. Appl. Math. 383: 113134 (2021) - 2020
- [j19]Remigijus Paulavicius, Yaroslav D. Sergeyev, Dmitri E. Kvasov, Julius Zilinskas:
Globally-biased BIRECT algorithm with local accelerators for expensive global optimization. Expert Syst. Appl. 144: 113052 (2020) - [j18]Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego:
Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework. Soft Comput. 24(23): 17715-17735 (2020) - [e3]Yaroslav D. Sergeyev, Dmitri E. Kvasov:
Numerical Computations: Theory and Algorithms - Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I. Lecture Notes in Computer Science 11973, Springer 2020, ISBN 978-3-030-39080-8 [contents] - [e2]Yaroslav D. Sergeyev, Dmitri E. Kvasov:
Numerical Computations: Theory and Algorithms - Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part II. Lecture Notes in Computer Science 11974, Springer 2020, ISBN 978-3-030-40615-8 [contents]
2010 – 2019
- 2019
- [c2]Dmitri E. Kvasov, Marat S. Mukhametzhanov, Maria Chiara Nasso, Yaroslav D. Sergeyev:
On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods. NUMTA (2) 2019: 413-421 - [i8]Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego:
Safe global optimization of expensive noisy black-box functions in the $δ$-Lipschitz framework. CoRR abs/1908.06010 (2019) - 2018
- [j17]Luigi Brugnano, Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Foreword to the special issue ''Recent Trends in Numerical Computations: Theory and Algorithms''. Appl. Math. Comput. 318: 1-2 (2018) - [j16]Dmitri E. Kvasov, Marat S. Mukhametzhanov:
Metaheuristic vs. deterministic global optimization algorithms: The univariate case. Appl. Math. Comput. 318: 245-259 (2018) - [j15]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales. Commun. Nonlinear Sci. Numer. Simul. 59: 319-330 (2018) - [i7]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales. CoRR abs/1801.05306 (2018) - 2017
- [j14]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms. Math. Comput. Simul. 141: 96-109 (2017) - [c1]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints. LION 2017: 383-388 - [e1]Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Learning and Intelligent Optimization - 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10556, Springer 2017, ISBN 978-3-319-69403-0 [contents] - 2016
- [j13]Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Dmitri E. Kvasov, Daniela Lera:
Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization. J. Optim. Theory Appl. 171(1): 186-208 (2016) - [p1]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
On the Least-Squares Fitting of Data by Sinusoids. Advances in Stochastic and Deterministic Global Optimization 2016: 209-226 - 2015
- [j12]Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Deterministic approaches for solving practical black-box global optimization problems. Adv. Eng. Softw. 80: 58-66 (2015) - [j11]Renato De Leone, Dmitri E. Kvasov, Yaroslav D. Sergeyev:
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. 255: 1-2 (2015) - [j10]Yaroslav D. Sergeyev, Dmitri E. Kvasov:
A deterministic global optimization using smooth diagonal auxiliary functions. Commun. Nonlinear Sci. Numer. Simul. 21(1-3): 99-111 (2015) - [i6]Yaroslav D. Sergeyev, Dmitri E. Kvasov:
A deterministic global optimization using smooth diagonal auxiliary functions. CoRR abs/1509.04518 (2015) - 2014
- [j9]Remigijus Paulavicius, Yaroslav D. Sergeyev, Dmitri E. Kvasov, Julius Zilinskas:
Globally-biased Disimpl algorithm for expensive global optimization. J. Glob. Optim. 59(2-3): 545-567 (2014) - 2013
- [j8]Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Lipschitz global optimization methods in control problems. Autom. Remote. Control. 74(9): 1435-1448 (2013) - [i5]Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Lipschitz gradients for global optimization in a one-point-based partitioning scheme. CoRR abs/1307.4302 (2013) - 2012
- [j7]Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Lipschitz gradients for global optimization in a one-point-based partitioning scheme. J. Comput. Appl. Math. 236(16): 4042-4054 (2012) - 2011
- [i4]Yaroslav D. Sergeyev, Dmitri E. Kvasov:
Global Search Based on Efficient Diagonal Partitions and a set of Lipschitz Constants. CoRR abs/1103.2056 (2011) - [i3]Marco Gaviano, Dmitri E. Kvasov, Daniela Lera, Yaroslav D. Sergeyev:
Software for Generation of Classes of Test Functions with Known Local and Global Minima for Global Optimization. CoRR abs/1103.2695 (2011) - [i2]Dmitri E. Kvasov, Clara Pizzuti, Yaroslav D. Sergeyev:
Local tuning and partition strategies for diagonal GO methods. CoRR abs/1103.3665 (2011) - [i1]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Falah M. H. Khalaf:
A One-Dimensional Local Tuning Algorithm for Solving GO Problems with Partially Defined Constraints. CoRR abs/1107.5280 (2011)
2000 – 2009
- 2009
- [j6]Dmitri E. Kvasov, Yaroslav D. Sergeyev:
A univariate global search working with a set of Lipschitz constants for the first derivative. Optim. Lett. 3(2): 303-318 (2009) - 2008
- [j5]Dmitri E. Kvasov:
Multidimensional Lipschitz global optimization based on efficient diagonal partitions. 4OR 6(4): 403-406 (2008) - 2007
- [j4]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Falah M. H. Khalaf:
A one-dimensional local tuning algorithm for solving GO problems with partially defined constraints. Optim. Lett. 1(1): 85-99 (2007) - 2006
- [j3]Yaroslav D. Sergeyev, Dmitri E. Kvasov:
Global Search Based on Efficient Diagonal Partitions and a Set of Lipschitz Constants. SIAM J. Optim. 16(3): 910-937 (2006) - 2003
- [j2]Dmitri E. Kvasov, Clara Pizzuti, Yaroslav D. Sergeyev:
Local tuning and partition strategies for diagonal GO methods. Numerische Mathematik 94(1): 93-106 (2003) - [j1]Marco Gaviano, Dmitri E. Kvasov, Daniela Lera, Yaroslav D. Sergeyev:
Algorithm 829: Software for generation of classes of test functions with known local and global minima for global optimization. ACM Trans. Math. Softw. 29(4): 469-480 (2003)
Coauthor Index
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