دوره 10، شماره 2 - ( 2-1399 )                   جلد 10 شماره 2 صفحات 231-260 | برگشت به فهرست نسخه ها

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Kaveh A, Biabani Hamedani K, Barzinpour F. OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY. International Journal of Optimization in Civil Engineering. 2020; 10 (2) :231-260
URL: http://ijoce.iust.ac.ir/article-1-432-fa.html
OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY. دانشگاه علم و صنعت ایران. 1399; 10 (2) :231-260

URL: http://ijoce.iust.ac.ir/article-1-432-fa.html


چکیده:   (4020 مشاهده)
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.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1398/12/28 | پذیرش: 1398/12/28 | انتشار: 1398/12/28

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