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Volume 10, Number 2, April 2025 , pages 169-183 DOI: https://doi.org/10.12989/acd.2025.10.2.169 |
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Optimizing the size and geometry of the 3D frame using an enhanced meta-heuristic algorithm |
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Behzad Rahimi, Seyed Arash Mousavi Ghasemi, Reza Goli Ejlali and Adel Ferdous
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| Abstract | ||
| This paper presents a study on optimizing the size and geometry of 3D frames using an improved meta-heuristic algorithm. 3D frames are integral parts of various engineering designs and require efficient optimization techniques to improve their performance and minimize material consumption. The proposed meta-heuristic algorithm builds on existing methods and incorporates novel improvements to increase search efficiency and solution quality. Through rigorous testing on benchmark problems, the algorithm demonstrates superior performance in achieving optimal design solutions that ensure structural integrity while reducing overall weight and cost. The results exhibit the potential of the improved algorithm to advance the field of structural optimization. | ||
| Key Words | ||
| optimization; genetic algorithm; meta-heuristic algorithm; particle perturbation algorithm; special bending frame | ||
| Address | ||
| Behzad Rahimi, Seyed Arash Mousavi Ghasemi, Reza Goli Ejlali and Adel Ferdous: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran | ||
