Title of article :
A COMPARATIVE STUDY FOR THE OPTIMAL DESIGN OF STEEL STRUCTURES USING CSS an‎d ACSS ALGORITHMS
Author/Authors :
Kaveh1, A. School of Civil Engineering - Iran University of Science and Technology, Narmak, Tehran, Iran , Khodadadi, N. School of Civil Engineering - Iran University of Science and Technology, Narmak, Tehran, Iran , Talatahari, S. School of Civil Engineering - Iran University of Science and Technology, Narmak, Tehran, Iran
Pages :
4
From page :
31
To page :
34
Abstract :
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.
Keywords :
Levy flight , Opposition-based Learning , Steel structures , Advanced charged system search
Journal title :
International Journal of Optimization in Civil Engineering
Serial Year :
2021
Record number :
2699922
Link To Document :
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