| On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget YD Sergeyev, DE Kvasov, MS Mukhametzhanov Scientific reports 8 (1), 453, 2018 | 199 | 2018 |
| Metaheuristic vs. deterministic global optimization algorithms: The univariate case DE Kvasov, MS Mukhametzhanov Applied Mathematics and Computation 318, 245-259, 2018 | 139 | 2018 |
| On the search of the shape parameter in radial basis functions using univariate global optimization methods R Cavoretto, A De Rossi, MS Mukhametzhanov, YD Sergeyev Journal of Global Optimization 79, 305-327, 2021 | 93 | 2021 |
| A generalized Taylor method of order three for the solution of initial value problems in standard and infinity floating-point arithmetic P Amodio, F Iavernaro, F Mazzia, MS Mukhametzhanov, YD Sergeyev Mathematics and Computers in Simulation 141, 24-39, 2017 | 73 | 2017 |
| Numerical methods for solving initial value problems on the Infinity Computer Y Sergeyev, M Mukhametzhanov, F Mazzia, F Iavernaro, P Amodio | 64 | 2016 |
| On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales YD Sergeyev, DE Kvasov, MS Mukhametzhanov Communications in Nonlinear Science and Numerical Simulation 59, 319-330, 2018 | 63 | 2018 |
| Numerical infinitesimals in a variable metric method for convex nonsmooth optimization M Gaudioso, G Giallombardo, M Mukhametzhanov Applied Mathematics and Computation 318, 312-320, 2018 | 56 | 2018 |
| Derivative-free local tuning and local improvement techniques embedded in the univariate global optimization YD Sergeyev, MS Mukhametzhanov, DE Kvasov, D Lera Journal of Optimization Theory and Applications 171, 186-208, 2016 | 51 | 2016 |
| Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms YD Sergeyev, DE Kvasov, MS Mukhametzhanov Mathematics and computers in simulation 141, 96-109, 2017 | 50 | 2017 |
| Conjugate-symplecticity properties of Euler–Maclaurin methods and their implementation on the Infinity Computer F Iavernaro, F Mazzia, MS Mukhametzhanov, YD Sergeyev Applied Numerical Mathematics 155, 58-72, 2020 | 35 | 2020 |
| Computation of higher order Lie derivatives on the Infinity Computer F Iavernaro, F Mazzia, MS Mukhametzhanov, YD Sergeyev Journal of Computational and Applied Mathematics 383, 113135, 2021 | 30 | 2021 |
| Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives YD Sergeyev, MC Nasso, MS Mukhametzhanov, DE Kvasov Journal of Computational and Applied Mathematics 383, 113134, 2021 | 27 | 2021 |
| Numerical methods for solving ODEs on the Infinity Computer F Mazzia, YD Sergeyev, F Iavernaro, P Amodio, MS Mukhametzhanov AIP Conference Proceedings 1776 (1), 2016 | 25 | 2016 |
| Representation of grossone-based arithmetic in simulink for scientific computing A Falcone, A Garro, MS Mukhametzhanov, YD Sergeyev Soft Computing 24 (23), 17525-17539, 2020 | 24 | 2020 |
| A simulink-based infinity computer simulator and some applications A Falcone, A Garro, MS Mukhametzhanov, YD Sergeyev International Conference on Numerical Computations: Theory and Algorithms …, 2019 | 18 | 2019 |
| A Simulink-based software solution using the Infinity Computer methodology for higher order differentiation A Falcone, A Garro, MS Mukhametzhanov, YD Sergeyev Applied Mathematics and Computation 409, 125606, 2021 | 17 | 2021 |
| Emmental-type GKLS-based multiextremal smooth test problems with non-linear constraints YD Sergeyev, DE Kvasov, MS Mukhametzhanov Learning and Intelligent Optimization: 11th International Conference, LION …, 2017 | 15 | 2017 |
| A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization YD Sergeyev, DE Kvasov, MS Mukhametzhanov IEEE Transactions on Evolutionary Computation 26 (6), 1261-1270, 2021 | 13 | 2021 |
| One-dimensional global search: Nature-inspired vs. Lipschitz methods DE Kvasov, MS Mukhametzhanov AIP Conference Proceedings 1738 (1), 2016 | 12 | 2016 |
| On the least-squares fitting of data by sinusoids YD Sergeyev, DE Kvasov, MS Mukhametzhanov Advances in stochastic and deterministic global optimization, 209-226, 2016 | 11 | 2016 |
