عنوان مقاله [English]
نویسندگان [English]چکیده [English]
These days, truss structures becomes more important due to their high performance. The benefits of frequent use of this particular type of structures include the participation of all members on dividing and distributing of loads, robustness (this means that the collapse of a limited number of members does not necessarily lead to the collapse of the main structures), covering large spans with minimum consumption, ease implementing, etc. Therefore, the optimization of truss structures can play a significant role on reducing costs. The particle swarm optimization algorithm has a number of advantages compared to other algorithms, which make it superior; some of these benefits is as: a small number of regulatory parameters, good use of required memory and high speed of convergence. The frequency resonances of the structures were selected as the constraints due to prevent large deformation and thereby prevent structural damage. The results of the new proposed algorithm is far better than the original PSO algorithm and other algorithms used in this research in both the rate of convergence and the quality of solutions for finding optimum design of truss structures considering dynamic constraints.