دوره 14، شماره 3 - ( 4-1403 )
جلد 14 شماره 3 صفحات 383-355 |
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SeyedOskouei S L, Sojoudizadeh R, Milanchian R, Azizian H. IMPROVED ARTIFICIAL RABBITS OPTIMIZATION ALGORITHM FOR DESIGN OPTIMIZATION OF TRUSS STRUCTURES BY CONSIDERING DISCRETE DESIGN VARIABLES. IJOCE 2024; 14 (3) :355-383
URL: http://ijoce.iust.ac.ir/article-1-593-fa.html
URL: http://ijoce.iust.ac.ir/article-1-593-fa.html
IMPROVED ARTIFICIAL RABBITS OPTIMIZATION ALGORITHM FOR DESIGN OPTIMIZATION OF TRUSS STRUCTURES BY CONSIDERING DISCRETE DESIGN VARIABLES. عنوان نشریه. 1403; 14 (3) :355-383
چکیده: (4136 مشاهده)
The optimal design of structural systems represents a pivotal challenge, striking a balance between economic efficiency and safety. There has been a great challenge in balancing between the economic issues and safety factors of the structures over the past few decades; however, development of high-speed computing systems enables the experts to deal with higher computational efforts in designing structural systems. Recent advancements in computational methods have significantly improved our ability to address this challenge through sophisticated design schemes. The main purpose of this paper is to develop an intelligent design scheme for truss structures in which an optimization process is implemented into this scheme to help the process reach lower weights for the structures. For this purpose, the Artificial Rabbits Optimization (ARO) algorithm is utilized as one of the recently developed metaheuristic algorithms which mimics the foraging behaviour of the rabbits in nature. In order to reach better solutions, the improved version of this algorithm is proposed as I-ARO in which the well-known random initialization process is substituted by the Diagonal Linear Uniform (DLU) initialization procedure. For numerical investigations, 5 truss structures 10, 25, 52, 72, and 160 elements are considered in which stress and displacement constraints are determined by considering discrete design variables. By conducting 50 optimization runs for each truss structure, it can be concluded that the I-ARO algorithm is capable of reaching better solutions than the standard ARO algorithm which demonstrates the effects of DLU in enhancing this algorithm’s search behaviour.
نوع مطالعه: پژوهشي |
موضوع مقاله:
Optimal design
دریافت: 1403/1/22 | پذیرش: 1403/3/15 | انتشار: 1403/3/23
دریافت: 1403/1/22 | پذیرش: 1403/3/15 | انتشار: 1403/3/23
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