A stochastic smoothing method for nonsmooth global optimization
The paper presents the results of testing the stochastic smoothing method for global optimization of a multiextremal function in a convex feasible subset of the Euclidean space. Preliminarily, the objective function is extended outside the admissible region so that its global minimum does not chang...
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| Published in: | Кібернетика та комп’ютерні технології |
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| Date: | 2020 |
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Інститут кібернетики ім. В.М. Глушкова НАН України
2020
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| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/168590 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | A stochastic smoothing method for nonsmooth global optimization / V.I. Norkin // Кібернетика та комп’ютерні технології: Зб. наук. пр. — 2020. — № 1. — С. 5-14— Бібліогр.: 18 назв. — англ. |