دوره 9، شماره 4 - ( 6-1398 )
جلد 9 شماره 4 صفحات 670-651 |
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Ghiamat R, Madhkhan M, Bakhshpoori T. OPTIMAL OPERATORS OF GENETIC ALGORITHM IN OPTIMIZING SEGMENTAL PRECAST CONCRETE BRIDGES SUPERSTRUCTURE. IJOCE 2019; 9 (4) :651-670
URL: http://ijoce.iust.ac.ir/article-1-414-fa.html
URL: http://ijoce.iust.ac.ir/article-1-414-fa.html
OPTIMAL OPERATORS OF GENETIC ALGORITHM IN OPTIMIZING SEGMENTAL PRECAST CONCRETE BRIDGES SUPERSTRUCTURE. عنوان نشریه. 1398; 9 (4) :651-670
چکیده: (15413 مشاهده)
Bridges constitute an expensive segment of construction projects; the optimization of their designs will affect their high cost. Segmental precast concrete bridges are one of the most commonly serviced bridges built for mid and long spans. Genetic algorithm is one of the most widely applied meta-heuristic algorithms due to its ability in optimizing cost. Next to providing cost optimization of these bridge types, the effects of each one of the main three selections, crossover and mutation operators are assessed, and the best operator is determined through the Taguchi experimental design. To validate the functionality of this algorithm, a bridge constructed in the city of Isfahan, Iran (completed in 2017) is optimized, a total of 13% reduction in cost and weight of its superstructure is evident. The efficiency of applying the Taguchi method in determining the type of operators of the genetic algorithm is proved.
نوع مطالعه: پژوهشي |
موضوع مقاله:
Optimal design
دریافت: 1398/4/26 | پذیرش: 1398/4/26 | انتشار: 1398/4/26
دریافت: 1398/4/26 | پذیرش: 1398/4/26 | انتشار: 1398/4/26
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