Guided stochastic search technique for discrete sizing optimization of steel trusses: A design-driven heuristic approach

Date

2014-04-01

Author

Azad, S. Kazemzadeh
Hasançebi, Oğuzhan
Saka, M. P.

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This study presents a design-driven heuristic approach named guided stochastic search (GSS) technique for discrete sizing optimization of steel trusses. The method works on the basis of guiding the optimization process using the well-known principle of virtual work as well as the information collected during the structural analysis and design stages. The performance of the proposed technique is investigated through a benchmark truss instance as well as four real-size trusses sized for minimum weight according to AISC-LRFD specifications. A comparison of the numerical results obtained using the GSS with those of other available algorithms indicates that the proposed technique is capable of locating promising solutions using lesser computational effort.

Subject Keywords

Mechanical Engineering, Modelling and Simulation, General Materials Science, Civil and Structural Engineering, Computer Science Applications

URI

https://hdl.handle.net/11511/49004

Journal

COMPUTERS & STRUCTURES

DOI

https://doi.org/10.1016/j.compstruc.2014.01.005

Collections

Department of Civil Engineering, Article

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Citation Formats

S. K. Azad, O. Hasançebi, and M. P. Saka, “Guided stochastic search technique for discrete sizing optimization of steel trusses: A design-driven heuristic approach,” COMPUTERS & STRUCTURES, pp. 62–74, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49004.