Advanced Steel Construction

Vol. 15, No. 3, pp. 274-287 (2019)



Tugrul Talaslioglu

Department of Civil Engineering, Osmaniye Korkut Ata University, 80000, Osmaniye, Turkey

* (Corresponding author: E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.)

Received: 21 November 2017; Revised: 9 January 2019; Accepted: 31 March 2019




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The lattice girder, members of which are constructed by use of ready profiles with tubular cross-sections, has a simple but an effective structural framing form. In this regard, this study proposes to optimize the design of tubular lattice girders i n a way of minimizing its entire weight and joint displacement and maximizing its load-carrying capacity considering the design codes of API RP2A-LRFD. As an optimization tool, a multi-objective optimization methodology named pareto archived genetic algorithm (PAGA) was utilized. The search capability of PAGA was improved by involving a designer module for automatically creation of a lattice girder form. The improved PAGA has a big responsibility of increasing the convergence degree of optimal designs against the stability problem. Furthermore, the content of this study is enriched by evaluating the computing efficiency of PAGA with respect to several multi-objective optimization algorithms. Consequently, the improved PAGA achieves to explore the optimal lattice girder designs with the higher convergence, diversity and capacity degr ees. Therefore, the proposed optimum lattice girder design tool is recommended for the designers due to its capability of obtaining a wide range of promising designs. 



Multi-objective optimization, Tubular lattice girder, Pareto dominance, Genetic algorithm


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