%0 Journal Article
%A Kaveh, A.
%A Biabani Hamedani, K.
%A Barzinpour, F.
%T OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY
%J International Journal of Optimization in Civil Engineering
%V 10
%N 2
%U http://ijoce.iust.ac.ir/article-1-432-en.html
%R
%D 2020
%K structural optimization, optimal design, meta-heuristic algorithms, truss structures, natural frequency, Taguchi method.,
%X 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.
%> http://ijoce.iust.ac.ir/article-1-432-en.pdf
%P 231-260
%& 231
%!
%9 Research
%L A-10-66-263
%+
%G eng
%@ 2228-7558
%[ 2020