AU - Kaveh, A.
AU - Biabani Hamedani, K.
AU - Barzinpour, F.
TI - OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY
PT - JOURNAL ARTICLE
TA - IUST
JN - IUST
VO - 10
VI - 2
IP - 2
4099 - http://ijoce.iust.ac.ir/article-1-432-en.html
4100 - http://ijoce.iust.ac.ir/article-1-432-en.pdf
SO - IUST 2
ABĀ - 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.
CP - IRAN
IN -
LG - eng
PB - IUST
PG - 231
PT - Research
YR - 2020