A review of applied methods of optimization in steel structures

Abstract

AbstractRecent dazzling progress in computer science and stringent requirements of the design of “more optimized” buildings put forwards the study and research of the various optimization methods in the building sector. This study presents a comprehensive review of the state‐of‐the‐art and the most applicable algorithms applying computational optimization to Steel buildings and different steel design problems. Four different algorithms including Neural Network, Bee and Bat‐Inspired algorithm and Metaheuristic Optimization algorithm have been studied with emphasized on the application of these methods in steel structures. Algorithm Key points are reviewed with more details including configuration of the algorithms and control of building systems, besides particular attention on accuracy and capability of them to be converged as an optimized solution. From different convergence rate, number of unknown parameters and boundaries of solutions It can be concluded that in near future researches should be oriented towards improving the efficiency of the most effective search techniques and realistic approximation methods especially in large‐scale building optimization problems; and reducing time with increasing accuracy for such activities. Further effort should be required to quantify the robustness in optimal answers so as to improve building performance.