Many important design problems involve the search for the global extremum in the space of the system parameters. The functions to be optimized in many engineering applications are multi-extremal, behave as a black-box with unknown analytical representations, and are hard to evaluate. Therefore, it is necessary to use efficient methods of global finite-dimensional optimization for solving these challenging problems. In this paper, some of these methods developed by the authors in the framework of Lipschitz global optimization are briefly reviewed and compared with several widely-used nature-inspired algorithms

A numerical comparison of some deterministic and nature-inspired algorithms for black-box global optimization / Kvasov, Dmitry; Mukhametzhanov, Marat; Sergeev, Yaroslav. - 106(2014), pp. 169.-169.18. ((Intervento presentato al convegno Twelfth International Conference on Computational Structures Technology tenutosi a Napoli nel 2-5 Settembre 2014.

A numerical comparison of some deterministic and nature-inspired algorithms for black-box global optimization

KVASOV Dmitry
;
Mukhametzhanov Marat;SERGEEV Yaroslav
2014

Abstract

Many important design problems involve the search for the global extremum in the space of the system parameters. The functions to be optimized in many engineering applications are multi-extremal, behave as a black-box with unknown analytical representations, and are hard to evaluate. Therefore, it is necessary to use efficient methods of global finite-dimensional optimization for solving these challenging problems. In this paper, some of these methods developed by the authors in the framework of Lipschitz global optimization are briefly reviewed and compared with several widely-used nature-inspired algorithms
Global optimization, numerical methods, experimental comparison
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/166769
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