59 citations to https://www.mathnet.ru/rus/at6095
  1. A. I. Diveev, E. Yu. Shmalko, O. Hussein, “Quadrocopter Control by Network Operator Method Based on Multi-Point Stabilization”, Mehatronika, avtomatizaciâ, upravlenie, 21:7 (2020), 428  crossref
  2. Sun Zh., Dawande M., Janakiraman G., Mookerjee V., “Data-Driven Decisions For Problems With An Unspecified Objective Function”, INFORMS J. Comput., 31:1 (2019), 2–20  crossref  isi  scopus
  3. Apinantanakon W., Pattanakitsiri S., Uttamaphant P., “The Cooperation of Candidate Solutions Vortex Search For Numerical Function Optimization”, Recent Advances in Information and Communication Technology 2018, Advances in Intelligent Systems and Computing, 769, eds. Unger H., Sodsee S., Meesad P., Springer International Publishing Ag, 2019, 135–144  crossref  isi  scopus
  4. Chao K.-H., Hsieh Ch.-Ch., “Photovoltaic Module Array Global Maximum Power Tracking Combined With Artificial Bee Colony and Particle Swarm Optimization Algorithm”, Electronics, 8:6 (2019), 603  crossref  isi
  5. Caraffini F., Kononova A.V., “Structural Bias in Differential Evolution: a Preliminary Study”, AIP Conference Proceedings, 2070, eds. Emmerich M., Deutz A., Hille S., Sergeyev Y., Amer Inst Physics, 2019, 020005  crossref  isi
  6. Kumar A. Jain T., “Computation of Linear Quadratic Regulator Using Krotov Sufficient Conditions”, 2019 Fifth Indian Control Conference (Icc), IEEE, 2019, 365–370  crossref  isi
  7. Kumar A. Jain T., “Linear Quadratic Optimal Control Design: a Novel Approach Based on Krotov Conditions”, Math. Probl. Eng., 2019 (2019), 9490512  crossref  mathscinet  isi
  8. Schmidt M., Sirvent M., Wollner W., “A Decomposition Method For Minlps With Lipschitz Continuous Nonlinearities”, Math. Program., 178:1-2 (2019), 449–483  crossref  mathscinet  isi  scopus
  9. R. Paulavicius, L. Chiter, J. Zilinskas, “Global optimization based on bisection of rectangles, function values at diagonals, and a set of Lipschitz constants”, J. Glob. Optim., 71:1, SI (2018), 5–20  crossref  mathscinet  zmath  isi  scopus
  10. D. Lera, Ya. D. Sergeyev, “Gosh: derivative-free global optimization using multi-dimensional space-filling curves”, J. Glob. Optim., 71:1, SI (2018), 193–211  crossref  mathscinet  zmath  isi  scopus
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