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...
Main Author: | V.I. Norkin |
---|---|
Format: | Article |
Language: | English |
Published: |
V.M. Glushkov Institute of Cybernetics
2020-03-01
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Series: | Кібернетика та комп'ютерні технології |
Subjects: | |
Online Access: | http://cctech.org.ua/13-vertikalnoe-menyu-en/89-abstract-20-1-1-arte |
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