Optimizing the Weight of 3D Intermediate Steel Moment frame by Spectrum Dynamic Analysis and Soft Computing Algorithm and Comparing Results

Regarding the importance of optimized and economic design of structures, reducing the total weight of structures has been considered. This approach leads to decrease the cost of building projects. In other point of view, reducing the weight of structures will be associated with decreasing the dimension of different elements so it can increase the likelihood of strength failure in the structures. This paper intends to apply the soft computing technique, firstly, to bring a new algorithm for minimizing the weight of structures with respect to satisfying different technical constraints and secondly, to improve the speed of answer. To achieve the second goals, various methods including the modified genetic algorithm, the modified ant colony and artificial neural network were applied and tested. Some performance indicators such as speed of answer, accuracy and etc. were selected to compare the output of those mentioned approaches with traditional calculations. The obtained results showed that the modified ant colony algorithm has better performance in terms of speed of answer and accuracy. While several previous investigations have been looked at the problem of structure weight optimization in a two-dimensional perspective, this paper developed three-dimensional modeling by applying the spectrum dynamic analysis. Four types of structures were examined to bring comprehensive results.