Local tuning and partition strategies for diagonal GO methods. - Dmitri E. Kvasov; Clara Pizzuti; Yaroslav D. Sergeyev (Numerische Mathematik, 2003)

Algorithm 829: Software for generation of classes of test functions with known local and global minima for global optimization. - Marco Gaviano; Dmitri E. Kvasov; Daniela Lera; Yaroslav D. Sergeyev (ACM Trans. Math. Softw., 2003)

Global Search Based on Efficient Diagonal Partitions and a Set of Lipschitz Constants. - Yaroslav D. Sergeyev; Dmitri E. Kvasov (SIAM J. Optim., 2006)

A one-dimensional local tuning algorithm for solving GO problems with partially defined constraints. - Yaroslav D. Sergeyev; Dmitri E. Kvasov; Falah M. H. Khalaf (Optim. Lett., 2007)

Multidimensional Lipschitz global optimization based on efficient diagonal partitions. - Dmitri E. Kvasov (4OR, 2008)

A univariate global search working with a set of Lipschitz constants for the first derivative. - Dmitri E. Kvasov; Yaroslav D. Sergeyev (Optim. Lett., 2009)

Software for Generation of Classes of Test Functions with Known Local and Global Minima for Global Optimization - Marco Gaviano; Dmitri E. Kvasov; Daniela Lera; Yaroslav D. Sergeyev (CoRR, 2011)

Lipschitz gradients for global optimization in a one-point-based partitioning scheme. - Dmitri E. Kvasov; Yaroslav D. Sergeyev (J. Comput. Appl. Math., 2012)

Lipschitz global optimization methods in control problems. - Dmitri E. Kvasov; Yaroslav D. Sergeyev (Autom. Remote. Control., 2013)

Globally-biased Disimpl algorithm for expensive global optimization. - Remigijus Paulavicius; Yaroslav D. Sergeyev; Dmitri E. Kvasov; Julius Zilinskas (J. Glob. Optim., 2014)

Deterministic approaches for solving practical black-box global optimization problems. - Dmitri E. Kvasov; Yaroslav D. Sergeyev (Adv. Eng. Softw., 2015)

Guest editors' foreword to the special issue devoted to the international conference "Numerical computations: Theory and Algorithms" June 17-23, 2013, Falerna, Italy. - Renato De Leone; Dmitri E. Kvasov; Yaroslav D. Sergeyev (Appl. Math. Comput., 2015)

A deterministic global optimization using smooth diagonal auxiliary functions. - Yaroslav D. Sergeyev; Dmitri E. Kvasov (Commun. Nonlinear Sci. Numer. Simul., 2015)

On the Least-Squares Fitting of Data by Sinusoids. - Yaroslav D. Sergeyev; Dmitri E. Kvasov; Marat S. Mukhametzhanov (Advances in Stochastic and Deterministic Global Optimization, 2016)

Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization. - Yaroslav D. Sergeyev; Marat S. Mukhametzhanov; Dmitri E. Kvasov; Daniela Lera (J. Optim. Theory Appl., 2016)

Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints. - Yaroslav D. Sergeyev; Dmitri E. Kvasov; Marat S. Mukhametzhanov (LION, 2017)

Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms. - Yaroslav D. Sergeyev; Dmitri E. Kvasov; Marat S. Mukhametzhanov (Math. Comput. Simul., 2017)

Foreword to the special issue ''Recent Trends in Numerical Computations: Theory and Algorithms''. - Luigi Brugnano; Dmitri E. Kvasov; Yaroslav D. Sergeyev (Appl. Math. Comput., 2018)

Metaheuristic vs. deterministic global optimization algorithms: The univariate case. - Dmitri E. Kvasov; Marat S. Mukhametzhanov (Appl. Math. Comput., 2018)

On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales. - Yaroslav D. Sergeyev; Dmitri E. Kvasov; Marat S. Mukhametzhanov (Commun. Nonlinear Sci. Numer. Simul., 2018)

On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods. - Dmitri E. Kvasov; Marat S. Mukhametzhanov; Maria Chiara Nasso; Yaroslav D. Sergeyev (NUMTA (2), 2019)

Globally-biased BIRECT algorithm with local accelerators for expensive global optimization. - Remigijus Paulavicius; Yaroslav D. Sergeyev; Dmitri E. Kvasov; Julius Zilinskas (Expert Syst. Appl., 2020)

Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework. - Yaroslav D. Sergeyev; Antonio Candelieri; Dmitri E. Kvasov; Riccardo Perego (Soft Comput., 2020)

Preface to the virtual special issue recent developments in applied mathematics and computation. - Luigi Brugnano; Dmitri E. Kvasov; Yaroslav D. Sergeyev (Appl. Math. Comput., 2021)

Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives. - Yaroslav D. Sergeyev; Maria Chiara Nasso; Marat S. Mukhametzhanov; Dmitri E. Kvasov (J. Comput. Appl. Math., 2021)

A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization. - Yaroslav D. Sergeyev; Dmitri E. Kvasov; Marat S. Mukhametzhanov (IEEE Trans. Evol. Comput., 2022)

Local Information in Global Optimization with Dimensionality Reduction Schemes. - Dmitri E. Kvasov; Vladimir A. Grishagin (NUMTA (1), 2023)