A multi-stage particle swarm for optimum design of truss structures

被引：0
作者：
S. Talatahari
M. Kheirollahi
C. Farahmandpour
A. H. Gandomi
机构：
[1] University of Tabriz,Marand Faculty of Engineering
[2] Islamic Azad University,Young Researchers Club, Tabriz Branch
[3] University of Tabriz,Department of Civil Engineering
[4] Islamic Azad University,Young Researchers Club, Central Tehran Branch
来源：
Neural Computing and Applications | 2013年 / 23卷
关键词：
Optimum design; Particle swarm optimization; Truss structures;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The contribution of this study is to propose a multi-stage particle swarm optimization (MSPSO) for structural optimization. In this paper, three auxiliary improving mechanisms are added to the standard particle swarm optimization (PSO) in order to enhance its efficiency and reliability dealing with optimum design of truss structures. These mechanisms effectively accelerate the convergence rate of the PSO and also make it robust to attain better optimum solutions during various runs of the algorithm. The effectiveness of the MSPSO is illustrated by several benchmark structural optimization problems. Results demonstrate the efficiency and robustness of the proposed MSPSO algorithm compared to the standard version of the PSO.
引用
收藏
页码：1297 / 1309
页数：12
相关论文
共 71 条
[1]  
Kaveh A(2010)Optimal design of skeletal structures via the charged system search algorithm Struct Multidiscip Optim 41 893-911
[2]  
Talatahari S(2008)Ant colony optimization for design of space trusses Int J Space Struct 23 167-181
[3]  
Kaveh A(2003)Design of space trusses using ant colony optimization J Struct Eng 130 741-751
[4]  
Farhmandazar B(2010)Charged system search for optimum grillage systems design using the LRFD–AISC code J Constr Steel Res 66 767-771
[5]  
Talatahari S(2012)Charged system search for optimal design of frame structures Appl Soft Comput 12 382-393
[6]  
Camp C(2011)An enhanced charged system search for configuration optimization using the concept of fields of forces Struct Multidiscip Optim 43 339-351
[7]  
Bichon BJ(2004)A new structural optimization method based on the harmony search algorithm Comput Struct 82 781-798
[8]  
Kaveh A(2012)Design optimization of truss structures using cuckoo search algorithm Struct Des Tall Spec Build 88 1220-1229
[9]  
Talatahari S(2012)Bat algorithm for constrained optimization tasks Neural Comput Appl 87 1129-1140
[10]  
Kaveh A(2012)Krill herd: a new bio-inspired optimization algorithm Commun Nonlinear Sci Numer Simulat 89 2325-2336
12345678