Volume 15, Issue 4 (11-2025)
IJOCE 2025, 15(4): 621-641 |
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Kaveh A, Salimi P, Rahimi Bondarabadi H. A CASCADE OPTIMIZATION APPROACH USING THE OPTISEARCH ALGORITHM IN CONCRETE FRAME WITH RELIABILITY CONSTRAINTS. IJOCE 2025; 15 (4) :621-641
URL: http://ijoce.iust.ac.ir/article-1-658-en.html
URL: http://ijoce.iust.ac.ir/article-1-658-en.html
1- School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
2- Department of Civil Engineering, Yazd University, Yazd, Iran
2- Department of Civil Engineering, Yazd University, Yazd, Iran
Abstract: (39 Views)
This work investigates the optimization of concrete structures using metaheuristic algorithms-based reliability. One of the major challenges in the optimization of concrete structures is the extensive search domain, which may lead to convergence to local optima and incorrect results. In this study, instead of solely relying on optimization algorithms that are prone to local optima, a novel approach is proposed. Based on the Cascade Algorithm, this method discretized the search domain for section of beam and column dimensions and increased step by step. After each cross-section is created, it is assigned to the corresponding element. Subsequently, structural analysis is performed, and using reliability-based constraints and analysis, the least-cost section for each element is selected. Based on the obtained low-cost sections, the upper and lower bounds for each design variable are then narrowed. Finally, metaheuristic algorithms are applied to determine the optimal cross-sections with high precision. The results demonstrate that this approach significantly reduces the likelihood of falling into local optima and improves both the speed and accuracy of metaheuristic algorithms.
Keywords: Optimization, Concrete frame, OptiSearch, metaheuristic algorithms, reliability, embodied energy
Type of Study: Research |
Subject:
Optimal design
Received: 2025/10/23 | Accepted: 2025/12/11 | Published: 2025/12/14
Received: 2025/10/23 | Accepted: 2025/12/11 | Published: 2025/12/14
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