8 citations to https://www.mathnet.ru/rus/zvmmf2399
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Kvasov D.E. Mukhametzhanov M.S. Sergeyev Ya.D., “III-Conditioning Provoked By Scaling in Univariate Global Optimization and Its Handling on the Infinity Computer”, AIP Conference Proceedings, 2070, ed. Emmerich M. Deutz A. Hille S. Sergeyev Y., Amer Inst Physics, 2019, 020011
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Pardalos P. Zilinskas A. Zilinskas J., “Non-Convex Multi-Objective Optimization”, Non-Convex Multi-Objective Optimization, Springer Optimization and Its Applications, 123, Springer International Publishing Ag, 2017, 1–192
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Al-Dujaili A. Suresh S. Sundararajan N., “MSO: a framework for bound-constrained black-box global optimization algorithms”, J. Glob. Optim., 66:4 (2016), 811–845
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Sergeyev Ya.D. Kvasov D.E. Mukhametzhanov M.S., “Comments upon the usage of derivatives in Lipschitz global optimization”, INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM 2015) (Rhodes, Greece, 22?28 September 2015), AIP Conference Proceedings, 1738, ed. Simos T. Tsitouras C., Amer Inst Physics, 2016, 400004
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Sergeyev Ya.D., Kvasov D.E., Mukhametzhanov M.S., “On the Least-Squares Fitting of Data By Sinusoids”, Advances in Stochastic and Deterministic Global Optimization, Springer Optimization and Its Applications, 107, eds. Pardalos P., Zhigljavsky A., Zilinskas J., Springer International Publishing Ag, 2016, 209–226
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Д. Е. Квасов, Я. Д. Сергеев, “Методы липшицевой глобальной оптимизации в задачах управления”, Автомат. и телемех., 2013, № 9, 3–19 ; D. E. Kvasov, Ya. D. Sergeyev, “Lipschitz global optimization methods in control problems”, Autom. Remote Control, 74:9 (2013), 1435–1448
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Sergeyev Y.D., Kvasov D.E., “Global search based on efficient diagonal partitions and a set of lipschitz constants”, SIAM J Optim, 16:3 (2006), 910–937
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А. Р. Ершов, О. В. Хамисов, “Автоматическая глобальная
оптимизация”, Дискретн. анализ и исслед. опер., сер. 2, сер. 2, 11:2 (2004), 45–68