Stochastic Smoothing Methods for Nonsmooth Global Optimization

Abstract. The paper presents the results of testing the stochastic smoothing method for global optimization of a multiextremal function in a convex feasible subset of Euclidean space. Preliminarily, the objective function is extended outside the admissible region so that its global minimum does not...

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書目詳細資料
主要作者: V.I. Norkin
格式: Article
語言:English
出版: V.M. Glushkov Institute of Cybernetics 2020-03-01
叢編:Кібернетика та комп'ютерні технології
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在線閱讀:http://cctech.org.ua/13-vertikalnoe-menyu-en/89-abstract-20-1-1-arte

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