References in zbMATH (referenced in 61 articles )

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  1. Ahmed, Mohamed Osama; Vaswani, Sharan; Schmidt, Mark: Combining Bayesian optimization and Lipschitz optimization (2020)
  2. Binois, Mickaël; Ginsbourger, David; Roustant, Olivier: On the choice of the low-dimensional domain for global optimization via random embeddings (2020)
  3. Bei, Xiaoqiang; Zhu, Xiaoyan; Coit, David W.: A risk-averse stochastic program for integrated system design and preventive maintenance planning (2019)
  4. Berahas, Albert S.; Byrd, Richard H.; Nocedal, Jorge: Derivative-free optimization of noisy functions via quasi-Newton methods (2019)
  5. Censor, Yair; Heaton, Howard; Schulte, Reinhard: Derivative-free superiorization with component-wise perturbations (2019)
  6. García-Palomares, Ubaldo M.; Rodríguez-Hernández, Pedro S.: Unified approach for solving box-constrained models with continuous or discrete variables by non monotone direct search methods (2019)
  7. Kampas, Frank J.; Castillo, Ignacio; Pintér, János D.: Optimized ellipse packings in regular polygons (2019)
  8. Larson, Jeffrey; Menickelly, Matt; Wild, Stefan M.: Derivative-free optimization methods (2019)
  9. Liu, Jianfeng; Ploskas, Nikolaos; Sahinidis, Nikolaos V.: Tuning BARON using derivative-free optimization algorithms (2019)
  10. Taig, Efrat; Ben-Shahar, Ohad: Gradient surfing: a new deterministic approach for low-dimensional global optimization (2019)
  11. Alzaidi, Khalid Mohammed Saffer; Bayat, Oguz; Uçan, Osman N.: A heuristic approach for optimal planning and operation of distribution systems (2018)
  12. Balakin, D. A.: Numerical methods for computing plausibility and belief distributions of consequences of a subjective model of object of research (2018)
  13. Costa, Alberto; Nannicini, Giacomo: RBFOpt: an open-source library for black-box optimization with costly function evaluations (2018)
  14. Endres, Stefan C.; Sandrock, Carl; Focke, Walter W.: A simplicial homology algorithm for Lipschitz optimisation (2018)
  15. Gergel, Victor; Barkalov, Konstantin; Sysoyev, Alexander: Globalizer: a novel supercomputer software system for solving time-consuming global optimization problems (2018)
  16. Gnandt, Christian; Callies, Rainer: CGRS -- an advanced hybrid method for global optimization of continuous functions closely coupling extended random search and conjugate gradient method (2018)
  17. Kieslich, Chris A.; Boukouvala, Fani; Floudas, Christodoulos A.: Optimization of black-box problems using Smolyak grids and polynomial approximations (2018)
  18. Kvasov, Dmitri E.; Mukhametzhanov, Marat S.: Metaheuristic vs. deterministic global optimization algorithms: the univariate case (2018)
  19. Patanè, Andrea; Santoro, Andrea; Romano, Vittorio; La Magna, Antonino; Nicosia, Giuseppe: Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality (2018)
  20. Pintér, János D.: How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results (2018)

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