Stochastic Smoothing Methods for Nonsmooth Global Optimization

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	V.I. Norkin
Μορφή:	Άρθρο
Γλώσσα:	English
Έκδοση:	V.M. Glushkov Institute of Cybernetics 2020-03-01
Σειρά:	Кібернетика та комп'ютерні технології
Θέματα:	global optimization steklov smoothing averaged functions stochastic optimization nonsmooth nonconvex optimization
Διαθέσιμο Online:	http://cctech.org.ua/13-vertikalnoe-menyu-en/89-abstract-20-1-1-arte

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