- Daniela Lera, Yaroslav D. Sergeyev, “GOSH: derivative-free global optimization using multi-dimensional space-filling curves”, J Glob Optim, 71, № 1, 2018, 193
- D. E. Kvasov, Ya. D. Sergeyev, “Lipschitz global optimization methods in control problems”, Autom Remote Control, 74, № 9, 2013, 1435
- Antanas Žilinskas, Linas Litvinas, “A hybrid of the simplicial partition-based Bayesian global search with the local descent”, Soft Comput, 24, № 23, 2020, 17601
- Antanas Žilinskas, “A statistical model-based algorithm for ‘black-box’ multi-objective optimisation”, International Journal of Systems Science, 45, № 1, 2014, 82
- Konstantin Barkalov, Ilya Lebedev, Vassili Toropov, 1331, Supercomputing, 2020, 150
- In-Bum Chung, Dohyun Park, Dong-Hoon Choi, “Surrogate-based global optimization using an adaptive switching infill sampling criterion for expensive black-box functions”, Struct Multidisc Optim, 57, № 4, 2018, 1443
- Ioannis G. Tsoulos, “Modifications of real code genetic algorithm for global optimization”, Applied Mathematics and Computation, 203, № 2, 2008, 598
- Roberto Battiti, Yaroslav Sergeyev, Mauro Brunato, Dmitri Kvasov, 1776, 2016, 060005
- Jani Rönkkönen, Xiaodong Li, Ville Kyrki, Jouni Lampinen, 5361, Simulated Evolution and Learning, 2008, 239
- Victor Gergel, Sergey Sidorov, 9251, Parallel Computing Technologies, 2015, 505