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  Volume 1, Number 1, January 2016, pages 79-86
DOI: http://dx.doi.org/10.12989/acd.2016.1.1.079
 


Examination of three meta-heuristic algorithms for optimal design of planar steel frames
Ghanshyam G. Tejani, Vishwesh H. Bhensdadia and Sujin Bureerat

 
Abstract
    In this study, the three different meta-heuristics namely the Grey Wolf Optimizer (GWO), Stochastic Fractal Search (SFS), and Adaptive Differential Evolution with Optional External Archive (JADE) algorithms are examined. This study considers optimization of the planer frame to minimize its weight subjected to the strength and displacement constraints as per the American Institute of Steel and Construction - Load and Resistance Factor Design (AISC-LRFD). The GWO algorithm is associated with grey wolves
 
Key Words
    grey wolf optimizer; stochastic fractal search; steel frame optimization; JADE; AISC-LRF
 
Address
Ghanshyam G. Tejani, Vishwesh H. Bhensdadia: RK University, India

Sujin Bureerat: Sustainable Infrastructure Research and Development Center, Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Thailand
 

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