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

Date

2014-01-02

Author

Hasançebi, Oğuzhan
Azad, S. Kazemzadeh

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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.

Subject Keywords

Management Science and Operations Research, Industrial and Manufacturing Engineering, Control and Optimization, Applied Mathematics, Computer Science Applications

URI

https://hdl.handle.net/11511/38781

Collections

Department of Civil Engineering, Article