Multiobjective optimal design of reinforced concrete frames using two metaheuristic algorithms
Joint Authors
Source
Journal of Engineering Research
Issue
Vol. 9, Issue 4 B (31 Dec. 2021), pp.166-192, 27 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-12-31
Country of Publication
Kuwait
No. of Pages
27
Main Subjects
Abstract EN
Genetic algorithm (GA) and differential evolution (DE) are metaheuristic algorithms that have shown a favorable performance in the optimization of complex problems.
In recent years, only GA has been widely used for single-objective optimal design of reinforced concrete (RC) structures; however, it has been applied for multiobjective optimization of steel structures.
In this article, the total structural cost and the roof displacement are considered as objective functions for the optimal design of the RC frames.
using the weighted sum method (WSM) approach, the two-objective optimization problem is converted to a single-objective optimization problem.
the size of the beams and columns are considered as design variables, and the design requirements of the ACI-318 are employed as constraints.
five numerical models are studied to test the efficiency of the GA and DE algorithms.
pareto front curves are obtained for the building models using both algorithms.
the detailed results show the accuracy and convergence speed of the algorithms.
American Psychological Association (APA)
Babaei, Mahdi& Mawlay, Masud. 2021. Multiobjective optimal design of reinforced concrete frames using two metaheuristic algorithms. Journal of Engineering Research،Vol. 9, no. 4 B, pp.166-192.
https://search.emarefa.net/detail/BIM-1494815
Modern Language Association (MLA)
Babaei, Mahdi& Mawlay, Masud. Multiobjective optimal design of reinforced concrete frames using two metaheuristic algorithms. Journal of Engineering Research Vol. 9, no. 4 B (Dec. 2021), pp.166-192.
https://search.emarefa.net/detail/BIM-1494815
American Medical Association (AMA)
Babaei, Mahdi& Mawlay, Masud. Multiobjective optimal design of reinforced concrete frames using two metaheuristic algorithms. Journal of Engineering Research. 2021. Vol. 9, no. 4 B, pp.166-192.
https://search.emarefa.net/detail/BIM-1494815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 190-193
Record ID
BIM-1494815