Improved GWO algorithm for optimal design of truss structures

被引:107
作者
Kaveh, A. [1 ]
Zakian, P. [2 ]
机构
[1] Iran Univ Sci & Technol, Sch Civil Engn, Ctr Excellence Fundamental Studies Struct Engn, Tehran 16, Iran
[2] Arak Univ, Fac Engn, Dept Civil Engn, POB 38156-88359, Arak, Iran
关键词
Structural optimization; Truss structures; Improved grey wolf optimizer; Optimum design; Meta-heuristic algorithm; GREY WOLF OPTIMIZER; COLLIDING BODIES OPTIMIZATION; PARTICLE SWARM OPTIMIZER; STEEL BUILDINGS; STRATEGY;
D O I
10.1007/s00366-017-0567-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this article, an improved grey wolf optimizer (IGWO) algorithm is developed for optimal design of truss structures. Grey wolf optimizer (GWO) is a recently proposed algorithm for optimization, which is herein improved to handle structural optimization in an efficient manner. In this work, performance of the GWO in structural optimization is also investigated. A few tunable parameters are defined to provide proper adaptability for the algorithm and to optimize the structures using fewer structural analyses, while obtaining finer solutions. Hence, in addition to reduce the computational efforts, better solutions are obtained as it is shown by several benchmark examples, where both GWO and IGWO are employed for the optimization. Mathematical functions as well as various design examples from small to large truss structures with different search spaces are examined to demonstrate the ability and efficiency of the present improved version in comparison to its standard version.
引用
收藏
页码:685 / 707
页数:23
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