Improved PSO algorithm for shape and sizing optimization of truss structure
In order to overcome the premature convergence defect of the basic particle swarm optimization (PSO) algorithm and provide an effective method for shape and sizing optimization of truss structure, an improved PSO was proposed. The random direction method was employed to produce high-quality initial...
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Vilnius Gediminas Technical University
2013-09-01
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doaj-b8876865ede44ad2bac54a396e8985da2021-07-02T09:22:05ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052013-09-0119410.3846/13923730.2013.786754Improved PSO algorithm for shape and sizing optimization of truss structureYancang Li0Yang Peng1Shujing Zhou2College of Civil Engineering, Hebei University of Engineering, Handan, 056038, ChinaCollege of Civil Engineering, Hebei University of Engineering, Handan, 056038, ChinaCollege of Civil Engineering, Hebei University of Engineering, Handan, 056038, China In order to overcome the premature convergence defect of the basic particle swarm optimization (PSO) algorithm and provide an effective method for shape and sizing optimization of truss structure, an improved PSO was proposed. The random direction method was employed to produce high-quality initial population, the fuzzy system was applied in the dynamic adaptive adjustment of parameters of the PSO, and the Metropolis criteria were used to improve the performance of PSO. Then, the improved PSO was introduced to the truss structure shape and sizing optimization design. Engineering practice and comparison with the other optimization algorithms show that the algorithm has good convergence and global searching capability. The study provides a promising algorithm for the structural optimization. http://journals.vgtu.lt/index.php/JCEM/article/view/3882structural optimizationimproved particle swarm optimization algorithmtruss structureshape optimizationsizing optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yancang Li Yang Peng Shujing Zhou |
spellingShingle |
Yancang Li Yang Peng Shujing Zhou Improved PSO algorithm for shape and sizing optimization of truss structure Journal of Civil Engineering and Management structural optimization improved particle swarm optimization algorithm truss structure shape optimization sizing optimization |
author_facet |
Yancang Li Yang Peng Shujing Zhou |
author_sort |
Yancang Li |
title |
Improved PSO algorithm for shape and sizing optimization of truss structure |
title_short |
Improved PSO algorithm for shape and sizing optimization of truss structure |
title_full |
Improved PSO algorithm for shape and sizing optimization of truss structure |
title_fullStr |
Improved PSO algorithm for shape and sizing optimization of truss structure |
title_full_unstemmed |
Improved PSO algorithm for shape and sizing optimization of truss structure |
title_sort |
improved pso algorithm for shape and sizing optimization of truss structure |
publisher |
Vilnius Gediminas Technical University |
series |
Journal of Civil Engineering and Management |
issn |
1392-3730 1822-3605 |
publishDate |
2013-09-01 |
description |
In order to overcome the premature convergence defect of the basic particle swarm optimization (PSO) algorithm and provide an effective method for shape and sizing optimization of truss structure, an improved PSO was proposed. The random direction method was employed to produce high-quality initial population, the fuzzy system was applied in the dynamic adaptive adjustment of parameters of the PSO, and the Metropolis criteria were used to improve the performance of PSO. Then, the improved PSO was introduced to the truss structure shape and sizing optimization design. Engineering practice and comparison with the other optimization algorithms show that the algorithm has good convergence and global searching capability. The study provides a promising algorithm for the structural optimization.
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topic |
structural optimization improved particle swarm optimization algorithm truss structure shape optimization sizing optimization |
url |
http://journals.vgtu.lt/index.php/JCEM/article/view/3882 |
work_keys_str_mv |
AT yancangli improvedpsoalgorithmforshapeandsizingoptimizationoftrussstructure AT yangpeng improvedpsoalgorithmforshapeandsizingoptimizationoftrussstructure AT shujingzhou improvedpsoalgorithmforshapeandsizingoptimizationoftrussstructure |
_version_ |
1721333219427614720 |