International Journal of Optimization in Civil Engineering
عنوان نشریه
IJOCE
Engineering & Technology
http://ijoce.iust.ac.ir
18
agent2
2228-7558
doi
en
jalali
1399
1
1
gregorian
2020
4
1
10
2
online
1
fulltext
en
OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY
Optimal design
Optimal design
پژوهشي
Research
Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, seven population-based meta-heuristic algorithms are employed for size and geometry optimization of truss structures. These algorithms consist of the Artificial Bee Colony algorithm, Cyclical Parthenogenesis Algorithm, Cuckoo Search algorithm, Teaching-Learning-Based Optimization algorithm, Vibrating Particles System algorithm, Water Evaporation Optimization, and a hybridized ABC-TLBO algorithm. The Taguchi method is employed to tune the parameters of the meta-heuristics. Optimization aims to minimize the weight of truss structures while satisfying some constraints on their natural frequencies. The capability and robustness of the algorithms is investigated through four well-known benchmark truss structure examples.
structural optimization, optimal design, meta-heuristic algorithms, truss structures, natural frequency, Taguchi method.
231
260
http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-263&slc_lang=en&sid=1
A.
Kaveh
`180031947532846001596`

180031947532846001596
Yes
K.
Biabani Hamedani
`180031947532846001597`

180031947532846001597
No
F.
Barzinpour
`180031947532846001598`

180031947532846001598
No