References in zbMATH (referenced in 86 articles )

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  1. Zhai, Jianyuan; Boukouvala, Fani: Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization (2022)
  2. Bemporad, Alberto; Piga, Dario: Global optimization based on active preference learning with radial basis functions (2021)
  3. Censor, Yair; Garduño, Edgar; Helou, Elias S.; Herman, Gabor T.: Derivative-free superiorization: principle and algorithm (2021)
  4. Chu, Fei; Cheng, Xiang; Peng, Chuang; Jia, Runda; Chen, Tao; Wei, Qinglai: A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method (2021)
  5. Gal, Raviv; Haber, Eldad; Irwin, Brian; Saleh, Bilal; Ziv, Avi: How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem (2021)
  6. Ghods, Alireza; Cook, Diane J.: A survey of deep network techniques all classifiers can adopt (2021)
  7. Horvath, Blanka; Muguruza, Aitor; Tomas, Mehdi: Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models (2021)
  8. Jakubik, Johannes; Binding, Adrian; Feuerriegel, Stefan: Directed particle swarm optimization with Gaussian-process-based function forecasting (2021)
  9. Jones, Donald R.; Martins, Joaquim R. R. A.: The DIRECT algorithm: 25 years later (2021)
  10. Ma, Kaiwen; Sahinidis, Nikolaos V.; Rajagopalan, Sreekanth; Amaran, Satyajith; Bury, Scott J.: Decomposition in derivative-free optimization (2021)
  11. Sampaio, Phillipe R.: DEFT-FUNNEL: an open-source global optimization solver for constrained grey-box and black-box problems (2021)
  12. Stripinis, Linas; Paulavičius, Remigijus: A new \textttDIRECT-GLh algorithm for global optimization with hidden constraints (2021)
  13. Stripinis, Linas; Žilinskas, Julius; Casado, Leocadio G.; Paulavičius, Remigijus: On \textttMATLABexperience in accelerating \textttDIRECT-GLce algorithm for constrained global optimization through dynamic data structures and parallelization (2021)
  14. Xia, Wei; Shoemaker, Christine: GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration (2021)
  15. Ahmed, Mohamed Osama; Vaswani, Sharan; Schmidt, Mark: Combining Bayesian optimization and Lipschitz optimization (2020)
  16. Akimoto, Youhei; Auger, Anne; Hansen, Nikolaus: Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions (2020)
  17. Bajaj, Ishan; Faruque Hasan, M. M.: Deterministic global derivative-free optimization of black-box problems with bounded Hessian (2020)
  18. Bemporad, Alberto: Global optimization via inverse distance weighting and radial basis functions (2020)
  19. Binois, Mickaël; Ginsbourger, David; Roustant, Olivier: On the choice of the low-dimensional domain for global optimization via random embeddings (2020)
  20. Hare, Warren: A discussion on variational analysis in derivative-free optimization (2020)

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