Title of article
OPTIMAL OPERATORS OF GENETIC ALGORITHM IN OPTIMIZING SEGMENTAL PRECAST CONCRETE BRIDGES SUPERSTRUCTURE
Author/Authors
Ghiamat, R Isfahan University of Technology, Isfahan , Madhkhan, M Department of Civil Engineering - Isfahan University of Technology, Isfahan , Bakhshpoori, T Faculty of Technology and Engineering - Department of Civil Engineering - East of Guilan - University of Guilan, Rudsar-Vajargah
Pages
20
From page
651
To page
670
Abstract
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.
Keywords
segmental concrete bridge , optimization , genetic algorithm , Taguchi method
Journal title
Astroparticle Physics
Serial Year
2019
Record number
2491192
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