On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods
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Publication:5122321
DOI10.1007/978-3-030-40616-5_38OpenAlexW3006612633MaRDI QIDQ5122321
Marat S. Mukhametzhanov, Maria Chiara Nasso, Yaroslav D. Sergeyev, Dmitri E. Kvasov
Publication date: 22 September 2020
Published in: Lecture Notes in Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-030-40616-5_38
local tuningLipschitz global optimizationgeometric and information approachesunivariate black-box functions
Related Items (4)
Safe global optimization of expensive noisy black-box functions in the \(\delta \)-Lipschitz framework ⋮ Space-filling curves for numerical approximation and visualization of solutions to systems of nonlinear inequalities with applications in robotics ⋮ Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives ⋮ Parallel global search algorithm with local tuning for solving mixed-integer global optimization problems
Uses Software
Cites Work
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