Volume 16, Issue 2 (4-2026)
IJOCE 2026, 16(2): 185-202 |
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Jabbari V, Azizian H, Sojoudizadeh R, Rahimi L. A SURROGATE APPROACH FOR ACCURATE ESTIMATION OF STRUCTURAL RESPONSE IN STEEL FRAME OPTIMIZATION. IJOCE 2026; 16 (2) :185-202
URL: http://ijoce.iust.ac.ir/article-1-664-en.html
URL: http://ijoce.iust.ac.ir/article-1-664-en.html
1- Department of Civil Engineering, Mah.C., Islamic Azad University, Mahabad, Iran, mahabad
Abstract: (21 Views)
Structural design seeks to achieve optimal performance with minimum cost while meeting code requirements. Evaluating optimized designs usually depends on finite element analysis, which is computationally expensive. Recently, surrogate models have been developed to predict structural behavior more efficiently. Among these, Support Vector Machine (SVM) has become a reliable tool in civil engineering. However, the predictive power of SVM is highly dependent on proper parameter tuning. This study introduces the Improved Electric Eel Foraging Optimization Algorithm (I-EEFO) for training SVM to estimate the response of steel frames. Two benchmark structures, a 2‑story and a 7‑story steel frame, were analyzed, and the results were compared with other metaheuristic algorithms. The proposed method achieved very high accuracy: mean squared errors of 1.11E‑13 for the 2‑story frame and 2.99E‑07 meters for the 7‑story frame over 10 runs. The root mean square errors for displacement prediction on test data were 2.67E‑07 and 7.23E‑04 meters, respectively, confirming reliable estimates. Convergence curves demonstrated that I‑EEFO converges faster and more effectively than competing methods. These findings highlight the potential of the proposed approach as a robust and computationally efficient alternative to traditional simulations, offering engineers a practical tool to reduce costs in structural design without compromising accuracy.
Keywords: Electric Eel Foraging Optimization, Structural Design, Metaheuristic algorithm, Machine Learning, Tall Building
Type of Study: Research |
Subject:
Optimal design
Received: 2026/02/2 | Accepted: 2026/04/7 | Published: 2026/04/11
Received: 2026/02/2 | Accepted: 2026/04/7 | Published: 2026/04/11
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