- Qunfeng Liu, Yunpeng Jing, Yuan Yan, Yun Li, “Mean-based Borda count for paradox-free comparisons of optimization algorithms”, Information Sciences, 660, 2024, 120120
- Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego, “Safe global optimization of expensive noisy black-box functions in the $\delta $-Lipschitz framework”, Soft Comput, 24, № 23, 2020, 17715
- Wenyu Wang, Taimoor Akhtar, Christine A. Shoemaker, “Integrating $\varepsilon $-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems”, J Glob Optim, 82, № 4, 2022, 965
- 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. Computat., 26, № 6, 2022, 1261
- Marat S. Mukhametzhanov, Dmitri E. Kvasov, 43, Numerical Infinities and Infinitesimals in Optimization, 2022, 347
- 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”, Communications in Nonlinear Science and Numerical Simulation, 59, 2018, 319
- Juan Li, Dan-dan Xiao, Hong Lei, Ting Zhang, Tian Tian, “Using Cuckoo Search Algorithm with Q-Learning and Genetic Operation to Solve the Problem of Logistics Distribution Center Location”, Mathematics, 8, № 2, 2020, 149
- Victor Gergel, Alexey Goryachikh, 11974, Numerical Computations: Theory and Algorithms, 2020, 378
- Mikhail A. Posypkin, Yaroslav D. Sergeyev, “Efficient smooth minorants for global optimization of univariate functions with the first derivative satisfying the interval Lipschitz condition”, J Glob Optim, 2022
- Jean Bigeon, Sébastien Le Digabel, Ludovic Salomon, “DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization”, Comput Optim Appl, 79, № 2, 2021, 301