Discrete size optimization of steel trusses using a refined big bang-big crunch algorithm

This article presents a methodology that provides a method for design optimization of steel truss structures based on a refined big bang-big crunch (BB-BC) algorithm. It is shown that a standard formulation of the BB-BC algorithm occasionally falls short of producing acceptable solutions to problems from discrete size optimum design of steel trusses. A reformulation of the algorithm is proposed and implemented for design optimization of various discrete truss structures according to American Institute of Steel Construction Allowable Stress Design (AISC-ASD) specifications. Furthermore, the performance of the proposed BB-BC algorithm is compared to its standard version as well as other well-known metaheuristic techniques. The numerical results confirm the efficiency of the proposed algorithm in practical design optimization of truss structures.


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Citation Formats
O. Hasançebi, “Discrete size optimization of steel trusses using a refined big bang-big crunch algorithm,” ENGINEERING OPTIMIZATION, pp. 61–83, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38781.