Black-box global optimization problems subject to nonlinear constraints are considered in this contribution. To address these challenging problems, it is suggested to use the index scheme (proposed by R.G. Strongin for univariate constrained problems) with the dimensionality reduction techniques (as, for example, space-filling or diagonal curves). In particular, it is discussed how the index scheme can be implemented in the framework of ‘Divide-the-Best’ diagonal approach.

On numerical methods for black-box constrained global optimization

Kvasov D.
;
In corso di stampa

Abstract

Black-box global optimization problems subject to nonlinear constraints are considered in this contribution. To address these challenging problems, it is suggested to use the index scheme (proposed by R.G. Strongin for univariate constrained problems) with the dimensionality reduction techniques (as, for example, space-filling or diagonal curves). In particular, it is discussed how the index scheme can be implemented in the framework of ‘Divide-the-Best’ diagonal approach.
In corso di stampa
Global optimization, constrained problems, numerical methods
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/336143
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