Optimization of Steel Structures Using Meta-Heuristic Methods

Abstract

The paper explores the significance of optimal design in ensuring the robustness, service life, and structural integrity of civil engineering projects, particularly focusing on large and inherently complex steel structures. Meta-heuristic methods are lauded for their effectiveness in improving the functionality and architecture of steel structures, offering advantages such as adaptability to dynamic and uncertain environments, escape from local optima, and parallel processing capabilities. The paper displays real-life examples and case studies demonstrating their application in enhancing the efficiency and performance of different steel structures. The challenges associated with integrating meta-heuristic Genetic Algorithm “GA” methods into the development and optimization of steel constructions is discussed, along with potential approaches. The paper details the optimization technique, problem formulation, and objective function, using the total construction cost constrained by stress and displacement as an illustrative example. In conclusion, the paper asserts that employing meta-heuristic methods Genetic Algorithm” for steel structure optimization offers a practical means of reducing costs, enhancing structural performance, and fostering ecologically friendly designs.