Volume 16, Issue 1 (1-2026)
IJOCE 2026, 16(1): 145-163 |
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Zaerreza A, Hassanvand P, Nabavian S R. CHAOTIC VPS-SRM ALGORITHMS FOR OPTIMUM DESIGN OF THE LARGE-SCALE STRUCTURES. IJOCE 2026; 16 (1) :145-163
URL: http://ijoce.iust.ac.ir/article-1-669-en.html
URL: http://ijoce.iust.ac.ir/article-1-669-en.html
1- Department of Civil Engineering, Faculty of Engineering, Ayatollah Boroujerdi University, Boroujerd, Iran
Abstract: (50 Views)
The VPS-SRM algorithm is an enhanced metaheuristic approach developed for structural optimization. While it demonstrates robust performance in structural design, its efficiency remains subject to improvement, especially when dealing with large-scale structural optimization problems. To address this, the present study introduces improved versions of the VPS-SRM by incorporating chaotic maps. The performance of these chaotic-based variants was evaluated through the optimization of large-scale structural problems, including a 3-bay 15-story frame, 520-bar double-layer grid, and 800-bar double-layer grid. The results indicate that the chaotic versions significantly outperform the original algorithm, providing superior structural designs with higher precision and enhanced statistical results. Statistical analysis via the Kruskal-Wallis test further confirms that the chaotic variants offer a substantial improvement over the standard VPS-SRM.
Type of Study: Research |
Subject:
Optimal design
Received: 2026/01/19 | Accepted: 2026/03/23 | Published: 2026/03/28
Received: 2026/01/19 | Accepted: 2026/03/23 | Published: 2026/03/28
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