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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