Optimum structural design of full-scale steel buildings using drift-tribe-charged system search

作     者：Siamak Talatahari Hedayat Veladi Mahdi Azizi Ali Moutabi-Alavi Salar Rahnema Siamak Talatahari;Hedayat Veladi;Mahdi Azizi;Ali Moutabi-Alavi;Salar Rahnema

作者机构：Department of Civil EngineeringUniversity of TabrizTabriz 51666Iran Faculty of Engineering and Information TechnologyUniversity of Technology SydneyUltimoNSW 2007Australia 

出 版 物：《Earthquake Engineering and Engineering Vibration》 (地震工程与工程振动（英文刊）)

年 卷 期：2022年第21卷第3期

页      面：825-842页

核心收录：

学科分类：08[工学] 081402[工学-结构工程] 081304[工学-建筑技术科学] 0835[工学-软件工程] 0714[理学-统计学（可授理学、经济学学位）] 0813[工学-建筑学] 0814[工学-土木工程] 0701[理学-数学] 

基　　金：Supported by:Research Grant of the University of Tabriz under Grant No.1105 

主　　题：drift-tribe-charged system search optimum structural design full-scale steel building statistical analysis 

摘      要：In this paper,the potential of utilizing improved metaheuristic approaches in optimal design of building structures is *** this regard,the drift-tribe-charged system search algorithm is proposed that the position and velocity updating processes of the charged system search is developed by implementing the mathematical presentation of the free-electron model utilized for metal *** addition,the searching phase of the developed algorithm is also divided into three separate phases in order to improve the convergence capability of the *** means of these modifications,the exploitation and exploration rates of the standard algorithm are *** order to determine the ability of the proposed improved metaheuristic method considering some complex optimization problems,a 10-story steel building structure with 1026 structural members alongside a 60-story structure with 8272 members are utilized as numerical *** overall capability of the developed metaheuristic approach is compared with other metaheuristics.A total number of 30 independent runs have been conducted for each of the standard and proposed methods while a statistical analysis is also conducted for comparative *** obtained optimum results demonstrated that the proposed metaheuristic approach is capable of preparing better outcomes than other metaheuristics.