A COMPARATIVE STUDY FOR THE OPTIMAL DESIGN OF STEEL STRUCTURES USING CSS AND ACSS ALGORITHMS
عنوان مقاله: A COMPARATIVE STUDY FOR THE OPTIMAL DESIGN OF STEEL STRUCTURES USING CSS AND ACSS ALGORITHMS
شناسه ملی مقاله: JR_IJOCE-11-1_003
منتشر شده در در سال 1399
شناسه ملی مقاله: JR_IJOCE-11-1_003
منتشر شده در در سال 1399
مشخصات نویسندگان مقاله:
A. Kaveh
N. Khodadadi
S. Talatahari
خلاصه مقاله:
A. Kaveh
N. Khodadadi
S. Talatahari
In this article, an Advanced Charged System Search (ACSS) algorithm is applied for the optimum design of steel structures. ACSS uses the idea of Opposition-based Learning and Levy flight to enhance the optimization abilities of the standard CSS. It also utilizes the information of the position of each charged particle in the subsequent search process to increase the convergence speed. The objective function is to find a minimum weight by choosing suitable sections subjected to strength and displacement requirements specified by the American Institute of Steel Construction (AISC) standard subject to the loads defined by Load Resistance Factor Design (LRFD). To show the performance of the ACSS, four steel structures with different number of elements are optimized. The results, efficiency, and accuracy of the ACSS algorithm are compared to other meta-heuristic algorithms. The results show the superiority of the ACSS compared to the other considered algorithms.
کلمات کلیدی: Advanced charged system search, Optimal design, Steel structures, Opposition-based Learning, Levy flight
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1831224/