| Autor: |
Mansour Tohidi, Navid Khayat, Abdoulrasoul Telvari |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Ain Shams Engineering Journal, Vol 13, Iss 3, Pp 101596- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2090-4479 |
| DOI: |
10.1016/j.asej.2021.09.023 |
| Popis: |
Since road pavements consume a significant portion of the financial resources of construction costs, design engineers aim to find an appropriate pavement thickness design with minimum possible cost. The optimal design can be located using intelligent search algorithms. This study compares the performance of genetic algorithm and particle swarm optimization to determine the efficacy of intelligent algorithms in determining the economically optimal pavement thickness design. The software required to implement the two algorithms for solving the pavement design and the simulation–optimization model were developed. Then, nine completed projects in Khuzestan, in Southwestern Iran, were evaluated using the manual design approach of consulting engineers, and the projects’ capabilities were compared by applying the programs developed for the two algorithms to the projects. The results indicated using GA and PSO reduced design costs by 9–26.5% and 5–25%, respectively compared to the manual design, and GA outperforms PSO by 1–5.5% regarding cost savings. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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