3066-280XISSN (Online)
Volume 3 , Issue 2 , PP: 11-20, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Sekar Kidambi Raju 1 *
Doi: https://doi.org/10.54216/MOR.030202
Metaheuristic optimization algorithms become essential to solving structural design problems because they can handle nonlinear, multiple-mode, large-scale, and other difficulties. This review focuses on how MOAs have been developed and utilized and how they have compared efficiency in structural engineering design optimization. It describes some of the main milestones, such as hybrid and ensemble algorithms, as well as quantum annealing and finite elements, to improve the accuracy of the results. The study organizes and assesses modern approaches scientifically and accentuates their benefits and pitfalls in practical applications. Hypotheses derived from benchmarking and statistical exercises show that enhanced MOAs are reliable and fast in yielding almost ideal structures within a manageable computational frontier. Finally, the review outlines the limitations of the current research and suggests research foci for the future advancement of metaheuristic methods and their use in structural engineering optimization.
Metaheuristic algorithms , structural optimization , quantum annealing , hybrid methods , engineering design , computational efficiency.
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