Volume 15, Issue 3 (8-2025)
IJOCE 2025, 15(3): 335-358 |
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Shahrouzi M, Taghavi A. ON THE ROLE OF INPUT SIGNALS IN STRUCTURAL DESIGN BY SOUND ENERGY OPTIMIZER: A CASE STUDY. IJOCE 2025; 15 (3) :335-358
URL: http://ijoce.iust.ac.ir/article-1-645-en.html
URL: http://ijoce.iust.ac.ir/article-1-645-en.html
1- Civil Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran
Abstract: (3670 Views)
Sound Energy Optimizer (SEO) is a recent metaheuristic algorithm inspired by the propagation and reception of sound waves in physical environments. While conventional metaheuristics that rely on random number generators with certain distributions, SEO can utilize various real-world or simulated sound signals as the source of stochasticity to guide its search process. Concerning structural design by SEO, the effect of natural sound signals is compared with the artificial signals generated from uniform or normal distributions. In this regard, a 244-bar power transmission tower and a 1016-bar double-layer grid are simultaneously optimized with continuous geometry as well as discrete sizing variables to evaluate the impact of input signals on convergence behavior, solution quality and robustness of the algorithm. A sensitivity analysis is conducted to calibrate key control parameters of SEO. The results declare that the nature of the input sound signal can significantly affect the algorithm’s exploration-exploitation balance. In this study, the "Knocking sound" signal yields the best performance, while the synthetic random signals revealed less stable optimization trajectories.
Keywords: sound energy optimizer, signal processing, physics-based meta-heuristic algorithm, random numbers, structural design
Type of Study: Research |
Subject:
Optimal design
Received: 2025/07/16 | Accepted: 2025/09/4 | Published: 2025/09/8
Received: 2025/07/16 | Accepted: 2025/09/4 | Published: 2025/09/8
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