Large-scale structural optimization using metaheuristic algorithms with elitism and a filter strategy

2017 ◽  
Vol 57 (2) ◽  
pp. 799-814 ◽  
Author(s):  
Hongyou Cao ◽  
Xudong Qian ◽  
Yunlai Zhou
Keyword(s):  
Structural Optimization ◽  
Large Scale ◽  
Metaheuristic Algorithms

scholarly journals Large-Scale Truss-Sizing Optimization with Enhanced Hybrid HS Algorithm

2021 ◽  
Vol 11 (7) ◽  
pp. 3270
Author(s):  
Sadik Ozgur Degertekin ◽  
Mohammad Minooei ◽  
Lorenzo Santoro ◽  
Bartolomeo Trentadue ◽  
Luciano Lamberti
Keyword(s):  
Structural Optimization ◽  
Large Scale ◽  
Harmony Search ◽  
Metaheuristic Algorithms ◽  
Truss Structures ◽  
Nonlinear Constraints ◽  
Weight Minimization ◽  
Design Variables ◽  
Gradient Based ◽  
Nodal Displacements

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.

Large scale structural optimization of trimetallic Cu–Au–Pt clusters up to 147 atoms

2017 ◽  
Vol 686 ◽  
pp. 103-110 ◽  
Author(s):  
Genhua Wu ◽  
Yan Sun ◽  
Xia Wu ◽  
Run Chen ◽  
Yan Wang
Keyword(s):  
Structural Optimization ◽  
Large Scale

Impact of vectorization on large-scale structural optimization

1994 ◽  
Vol 7 (1-2) ◽  
pp. 117-125 ◽  
Author(s):  
R. Soegiarso ◽  
H. Adeli
Keyword(s):  
Structural Optimization ◽  
Large Scale

scholarly journals Smart Designs of Anti-Coking and Anti-Sintering Ni-Based Catalysts for Dry Reforming of Methane: A Recent Review

Reactions ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 162-194
Author(s):  
Xingyuan Gao ◽  
Jangam Ashok ◽  
Sibudjing Kawi
Keyword(s):  
Energy Efficiency ◽  
Structural Optimization ◽  
Greenhouse Gases ◽  
Large Scale ◽  
Catalytic Performance ◽  
Dry Reforming ◽  
Dry Reforming Of Methane ◽  
Utilization Rate ◽  
Interfacial Engineering ◽  
Oxygen Defects

Dry reforming of methane (DRM) reaction has drawn much interest due to the reduction of greenhouse gases and production of syngas. Coking and sintering have hindered the large-scale operations of Ni-based catalysts in DRM reactions at high temperatures. Smart designs of Ni-based catalysts are comprehensively summarized in fourth aspects: surface regulation, oxygen defects, interfacial engineering, and structural optimization. In each part, details of the designs and anti-deactivation mechanisms are elucidated, followed by a summary of the main points and the recommended strategies to improve the catalytic performance, energy efficiency, and utilization rate.

Parallel implementation of large-scale structural optimization

1998 ◽  
Vol 16 (2-3) ◽  
pp. 176-185 ◽  
Author(s):  
S. L. Padula ◽  
S. C. Stone
Keyword(s):  
Structural Optimization ◽  
Large Scale ◽  
Parallel Implementation

Dynamic Performance and Structural Optimization of Large-Scale Machine Table

2014 ◽  
Vol 615 ◽  
pp. 313-316
Author(s):  
Zai Liang Chen ◽  
Luo Hong Deng ◽  
Cong Jing
Keyword(s):  
Structural Optimization ◽  
Natural Frequency ◽  
Dynamic Optimization ◽  
Large Scale ◽  
Lattice Structure ◽  
Dynamic Performance ◽  
Structure Parameters ◽  
Milling Machine ◽  
Plate Dynamic ◽  
The Ideal

Designed new table for large floor boring and milling machine, used ANSYS to optimize the structure of the table as a whole. According to the contours of removable material the materials which can be removed, obtained the inner ribs layout of table and the sand holes location of rib plate. Dynamic optimization variables on basic ribs cell, studied the effect of steel lattice structure parameters influenced on the natural frequency of the lattices and the related parameter of lattices influenced on whole table, to get the ideal rib lattice structure after optimizing again. Optimized bench can reduce quality, increase rigidity and dynamic performance.

Method based on dual-quadratic programming for frame structural optimization with large scale

2006 ◽  
Vol 27 (3) ◽  
pp. 383-391
Author(s):  
Yun-kang Sui ◽  
Jia-zheng Du ◽  
Ying-qiao Guo
Keyword(s):  
Quadratic Programming ◽  
Structural Optimization ◽  
Large Scale
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