References in zbMATH (referenced in 70 articles , 1 standard article )

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  1. Barkalov, Konstantin; Strongin, Roman: Solving a set of global optimization problems by the parallel technique with uniform convergence (2018)
  2. Evtushenko, Yuri; Posypkin, Mikhail; Rybak, Larisa; Turkin, Andrei: Approximating a solution set of nonlinear inequalities (2018)
  3. Gergel, Victor; Kozinov, Evgeny: Efficient multicriterial optimization based on intensive reuse of search information (2018)
  4. Gimbutas, Albertas; Žilinskas, Antanas: An algorithm of simplicial Lipschitz optimization with the bi-criteria selection of simplices for the bi-section (2018)
  5. Lera, Daniela; Sergeyev, Yaroslav D.: GOSH: derivative-free global optimization using multi-dimensional space-filling curves (2018)
  6. Paulavičius, Remigijus; Chiter, Lakhdar; Žilinskas, Julius: Global optimization based on bisection of rectangles, function values at diagonals, and a set of Lipschitz constants (2018)
  7. Kampas, Frank J.; Pintér, János D.; Castillo, Ignacio: Optimal packing of general ellipses in a circle (2017)
  8. Scitovski, Rudolf: A new global optimization method for a symmetric Lipschitz continuous function and the application to searching for a globally optimal partition of a one-dimensional set (2017)
  9. Al-Dujaili, Abdullah; Suresh, S.; Sundararajan, N.: MSO: a framework for bound-constrained black-box global optimization algorithms (2016)
  10. Balsa-Canto, Eva; Alonso, Antonio A.; Arias-Méndez, Ana; García, Miriam R.; López-Núñez, A.; Mosquera-Fernández, Maruxa; Vázquez, C.; Vilas, Carlos: Modeling and optimization techniques with applications in food processes, bio-processes and bio-systems (2016)
  11. Evtushenko, Yu. G.; Lurie, S. A.; Posypkin, M. A.; Solyaev, Yu. O.: Application of optimization methods for finding equilibrium states of two-dimensional crystals (2016)
  12. Gergel, Victor; Grishagin, Vladimir; Gergel, Alexander: Adaptive nested optimization scheme for multidimensional global search (2016)
  13. Grimstad, Bjarne; Sandnes, Anders: Global optimization with spline constraints: a new branch-and-bound method based on B-splines (2016)
  14. Khong, Sei Zhen; Nešić, Dragan; Krstić, Miroslav: Iterative learning control based on extremum seeking (2016)
  15. Paulavičius, Remigijus; Žilinskas, Julius: Advantages of simplicial partitioning for Lipschitz optimization problems with linear constraints (2016)
  16. Pintér, János D.; Castellazzo, Alessandro; Vola, Mariachiara; Fasano, Giorgio: Nonlinear regression analysis by global optimization: a case study in space engineering (2016)
  17. Sergeyev, Yaroslav D.; Kvasov, Dmitri E.; Mukhametzhanov, Marat S.: On the least-squares fitting of data by sinusoids (2016)
  18. Sergeyev, Yaroslav D.; Mukhametzhanov, Marat S.; Kvasov, Dmitri E.; Lera, Daniela: Derivative-free local tuning and local improvement techniques embedded in the univariate global optimization (2016)
  19. Censor, Yair; Reem, Daniel: Zero-convex functions, perturbation resilience, and subgradient projections for feasibility-seeking methods (2015)
  20. Lampariello, F.; Liuzzi, G.: A filling function method for unconstrained global optimization (2015)

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