Knowledge Reproduction through Telephone Networks. - V. V. Okatiev; Konstantin A. Barkalov; M. V. Bakulin (EWIMT, 2004)

Parallel Scalable Algorithms with Mixed Local-Global Strategy for Global Optimization Problems. - Konstantin Barkalov; Vasily Ryabov; Sergey V. Sidorov (MTPP, 2010)

SVM Regression Parameters Optimization Using Parallel Global Search Algorithm. - Konstantin Barkalov; Alexey Polovinkin; Iosif B. Meyerov; Sergey V. Sidorov; Nikolai Yu. Zolotykh (PaCT, 2013)

Use of Xeon Phi Coprocessor for Solving Global Optimization Problems. - Konstantin Barkalov; Victor Gergel; Ilya Lebedev (PaCT, 2015)

Solving GENOPT Problems with the Use of ExaMin Solver. - Konstantin Barkalov; Alexander Sysoyev; Ilya Lebedev; Vladislav Sovrasov (LION, 2016)

Parallel global optimization on GPU. - Konstantin Barkalov; Victor Gergel (J. Glob. Optim., 2016)

Comparing Two Approaches for Solving Constrained Global Optimization Problems. - Konstantin Barkalov; Ilya Lebedev (LION, 2017)

Test Problems for Parallel Algorithms of Constrained Global Optimization. - Konstantin Barkalov; Roman G. Strongin (LION, 2017)

Parallel Algorithm for Solving Constrained Global Optimization Problems. - Konstantin Barkalov; Ilya Lebedev (PaCT, 2017)

Globalizer - A Parallel Software System for Solving Global Optimization Problems. - Alexander Sysoyev; Konstantin Barkalov; Vladislav Sovrasov; Ilya Lebedev; Victor Gergel (PaCT, 2017)

Parallel Numerical Methods Course for Future Scientists and Engineers. - Iosif B. Meyerov; Sergey I. Bastrakov; Konstantin Barkalov; Alexander Sysoyev; Victor Gergel (RuSCDays, 2017)

Solving Time-Consuming Global Optimization Problems with Globalizer Software System. - Alexander Sysoyev; Konstantin Barkalov; Vladislav Sovrasov; Ilya Lebedev; Victor Gergel (RuSCDays, 2017)

A Global Optimization Algorithm for Non-Convex Mixed-Integer Problems. - Victor Gergel; Konstantin Barkalov; Ilya Lebedev (LION, 2018)

Comparison of Dimensionality Reduction Schemes for Parallel Global Optimization Algorithms. - Konstantin Barkalov; Vladislav Sovrasov; Ilya Lebedev (RuSCDays, 2018)

Solving a set of global optimization problems by the parallel technique with uniform convergence. - Konstantin Barkalov; Roman G. Strongin (J. Glob. Optim., 2018)

Acceleration of Global Search by Implementing Dual Estimates for Lipschitz Constant. - Roman G. Strongin; Konstantin Barkalov; Semen Bevzuk (NUMTA (2), 2019)

Parallel Global Optimization for Non-convex Mixed-Integer Problems. - Konstantin Barkalov; Ilya Lebedev (RuSCDays, 2019)

Adaptive Global Optimization Based on Nested Dimensionality Reduction. - Konstantin Barkalov; Ilya Lebedev (WCGO, 2019)

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization. - Antonio Candelieri; Ilaria Giordani; Francesco Archetti; Konstantin Barkalov; Iosif B. Meyerov; Alexey Polovinkin; Alexander Sysoyev; Nikolai Yu. Zolotykh (Comput. Oper. Res., 2019)

Adaptive Global Optimization Using Graphics Accelerators. - Konstantin Barkalov; Ilya Lebedev; Vassili Toropov (RuSCDays, 2020)

Adaptive Global Optimization Based on a Block-Recursive Dimensionality Reduction Scheme. - Roman G. Strongin; Victor P. Gergel; Konstantin A. Barkalov (Autom. Remote. Control., 2020)

Global optimization method with dual Lipschitz constant estimates for problems with non-convex constraints. - Roman G. Strongin; Konstantin Barkalov; Semen Bevzuk (Soft Comput., 2020)

An Approach for Simultaneous Finding of Multiple Efficient Decisions in Multi-objective Optimization Problems. - Konstantin Barkalov; Victor Gergel; Vladimir A. Grishagin; Evgeniy Kozinov (MOTOR, 2021)

Acceleration of Global Optimization Algorithm by Detecting Local Extrema Based on Machine Learning. - Konstantin Barkalov; Ilya Lebedev; Evgeny Kozinov (Entropy, 2021)

Computationally efficient approach for solving lexicographic multicriteria optimization problems. - Victor Gergel; Evgeniy Kozinov; Konstantin Barkalov (Optim. Lett., 2021)

ML-Based Approach for Accelerating Global Search Algorithm for Solving Multicriteria Problems. - Konstantin Barkalov; Vladimir A. Grishagin; Evgeny Kozinov (LION, 2022)

An Accelerated Algorithm for Finding Efficient Solutions in Multiobjective Problems with Black-Box Multiextremal Criteria. - Konstantin Barkalov; Vladimir A. Grishagin; Evgeny Kozinov (OPTIMA, 2022)

A Fast kNN Algorithm Using Multiple Space-Filling Curves. - Konstantin Barkalov; Anton Shtanyuk; Alexander Sysoyev (Entropy, 2022)

Application of Machine Learning to Increase the Efficiency of the Global Search Algorithm for Solving Multicriterial Problems. - Konstantin Barkalov; Vladimir A. Grishagin; Evgeny Kozinov (NUMTA (1), 2023)

Comparative Efficiency of Machine Learning Models for Enhancing Algorithms in Solving Multiextremal Multicriteria Problems. - Sergey Konnov; Evgeny Kozinov; Konstantin Barkalov; Vladimir A. Grishagin (OPTIMA, 2024)