Cost optimization of composite beams using genetic algorithms

نویسندگان

  • Ahmed B. Senouci
  • Mohammed S. Al-Ansari
چکیده

This paper presents a genetic algorithm model for the cost optimization of composite beams based on the Load and Resistance Factor Design (LRFD) specifications of the AISC. The model formulation includes the costs of concrete, steel beam, and shear studs. Two examples taken from the literature were analyzed in order to validate the model, to illustrate its use, and to demonstrate its capabilities in optimizing composite beams. The results obtained show that the cost optimization model achieved substantial cost savings and consequently can be of practical value to structural designers.

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عنوان ژورنال:
  • Advances in Engineering Software

دوره 40  شماره 

صفحات  -

تاریخ انتشار 2009