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- W2893828372 abstract "Abstract A common approach to solving global optimization problems is to use univariate optimization algorithms in combination with dimensional reduction schemes. The paper considers five types of Peano-like space-filling curves (evolvents), which are used to reduce the dimension in the derivative-free algorithm of global optimization. The algorithm is univariate and developed within the framework of the information-statistical approach. This work is the first one, where convergence rates and implementations details of these five evolvents are considered together and directly compared." @default.
- W2893828372 created "2018-10-05" @default.
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- W2893828372 date "2018-01-01" @default.
- W2893828372 modified "2023-09-27" @default.
- W2893828372 title "Comparison of dimensionality reduction schemes for derivative-free global optimization algorithms" @default.
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- W2893828372 doi "https://doi.org/10.1016/j.procs.2018.08.246" @default.
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