Large-scale truss-sizing optimization with enhanced hybrid HS algorithm
Yükleniyor...
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
MDPI
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Abstract: Metaheuristic algorithms currently represent the standard approach to engineering optimization. A very challenging field is large-scale structural optimization, entailing hundreds of
design variables and thousands of nonlinear constraints on element stresses and nodal displacements.
However, very few studies documented the use of metaheuristic algorithms in large-scale structural
optimization. In order to fill this gap, an enhanced hybrid harmony search (HS) algorithm for
weight minimization of large-scale truss structures is presented in this study. The new algorithm,
Large-Scale Structural Optimization–Hybrid Harmony Search JAYA (LSSO-HHSJA), developed here,
combines a well-established method like HS with a very recent method like JAYA, which has the
simplest and inherently most powerful search engine amongst metaheuristic optimizers. All stages
of LSSO-HHSJA are aimed at reducing the number of structural analyses required in large-scale
structural optimization. The basic idea is to move along descent directions to generate new trial
designs, directly through the use of gradient information in the HS phase, indirectly by correcting
trial designs with JA-based operators that push search towards the best design currently stored
in the population or the best design included in a local neighborhood of the currently analyzed
trial design. The proposed algorithm is tested in three large-scale weight minimization problems of
truss structures. Optimization results obtained for the three benchmark examples, with up to 280
sizing variables and 37,374 nonlinear constraints, prove the efficiency of the proposed LSSO-HHSJA
algorithm, which is very competitive with other HS and JAYA variants as well as with commercial
gradient-based optimizers.
Açıklama
WOS:000638345200001
Anahtar Kelimeler
Harmony search, JAYA, Large-scale structural optimization, Truss structures
Kaynak
Applied Sciences
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
11
Sayı
7
Künye
Değertekin, S.Ö., Minooei, M., Santoro, L., Trentadue, B. ve Lamberti, L. (2021). Large-scale truss-sizing optimization with enhanced hybrid HS algorithm. Applied Sciences, 11(7), 1-34.
