Volume 9, Issue 4 (9-2019)
IJOCE 2019, 9(4): 651-670 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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-en.html
URL: http://ijoce.iust.ac.ir/article-1-414-en.html
Abstract: (15269 Views)
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.
Type of Study: Research |
Subject:
Optimal design
Received: 2019/07/17 | Accepted: 2019/07/17 | Published: 2019/07/17
Received: 2019/07/17 | Accepted: 2019/07/17 | Published: 2019/07/17
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
