Application of the Strongin-Sergeyev global optimization method in the compliance minimization of latticed shells
Abstract
The aim of the present paper is to revisit some known truss optimization problems by applying the genuine Strongin and Sergeyev's algorithm of the global search [8]. By employing the space-filling Hilbert-Peanotype curves, the wide class of non-convex and multidimensional constrained global optimization problems is reduced to one-dimensional ones. Then, the global minimum of the objective function in one-dimensional problem can be effectively found by means of Multivariate Index Method (MIM) that can be treated as a special version of one-dimensional Global Search Algorithm (GSA) over the set of open intervals adopted to constrained problems.
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Published
Jan 25, 2017
How to Cite
CZARNECKI, Sławomir.
Application of the Strongin-Sergeyev global optimization method in the compliance minimization of latticed shells.
Computer Assisted Methods in Engineering and Science, [S.l.], v. 16, n. 3–4, p. 291-307, jan. 2017.
ISSN 2956-5839.
Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/152>. Date accessed: 13 nov. 2024.
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