- Benjamin Lev, “Book Reviews”, Interfaces, 40, № 1, 2010, 85

- Ya. D. Sergeyev, D. E. Kvasov, M. S. Mukhametzhanov, “On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget”, Sci Rep, 8, № 1, 2018, 453

- JiaHong Xu, LiHong Xu, “N-GKLS: An NMPC problem generator and a test platform for NMPC solvers”, Expert Systems with Applications, 214, 2023, 119029

- Daniela Lera, Yaroslav D. Sergeyev, “Deterministic global optimization using space-filling curves and multiple estimates of Lipschitz and Hölder constants”, Communications in Nonlinear Science and Numerical Simulation, 23, № 1-3, 2015, 328

- Hime Aguiar e Oliveira Junior, Lester Ingber, Antonio Petraglia, Mariane Rembold Petraglia, Maria Augusta Soares Machado, 35, Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing, 2012, 189

- Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart, Ben Paechter, Stefan Voß, 10079, Learning and Intelligent Optimization, 2016, 296

- Vasileios Charilogis, Ioannis G. Tsoulos, “A Parallel Implementation of the Differential Evolution Method”, Analytics, 2, № 1, 2023, 17

- Yaroslav D. Sergeyev, Dmitri E. Kvasov, “A deterministic global optimization using smooth diagonal auxiliary functions”, Communications in Nonlinear Science and Numerical Simulation, 21, № 1-3, 2015, 99

- Konstantin Barkalov, Ilya Lebedev, Evgeny Kozinov, “Acceleration of Global Optimization Algorithm by Detecting Local Extrema Based on Machine Learning”, Entropy, 23, № 10, 2021, 1272

- Dmitri E. Kvasov, “Multidimensional Lipschitz global optimization based on efficient diagonal partitions”, 4OR, 6, № 4, 2008, 403
