RT - Journal Article
T1 - OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY
JF - IUST
YR - 2020
JO - IUST
VO - 10
IS - 2
UR - http://ijoce.iust.ac.ir/article-1-432-en.html
SP - 231
EP - 260
K1 - structural optimization
K1 - optimal design
K1 - meta-heuristic algorithms
K1 - truss structures
K1 - natural frequency
K1 - Taguchi method.
AB - 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.
LA eng
UL http://ijoce.iust.ac.ir/article-1-432-en.html
M3
ER -