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

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


Karaesmen, Engin; ILERI, L; AKKAS, N (Elsevier BV, 1992-08-03)
This paper investigates the dynamic behaviour of a shallow, viscoelastic, spherical shell under a harmonic excitation. The time evolutions of the response of the corresponding nonlinear dynamical system are described by the phase portraits and the bifurcation of the parameter dependent system is studied numerically so as to identify qualitative changes in the phase portrait. The viscoelastic shell, having more than one equilibrium configuration for some problem parameters, shows periodic and/or random-like ...
ERBATUR, F; ALHUSSAINY, MM (Elsevier BV, 1992-12-03)
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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: