This article describes the process of constructing a genetic parametrical-optimization algorithm of trusses with the possibility of account the cost of manufacturing the nodal joints of rods. Accounting nodal joints in the process of parametric design synthesis will allow finding bearing systems with rational cost of their production. Parametric optimization was performed on the basis of modified genetic algorithm with constraints on the strength, stiffness and stability of the bearing system. The multipoint crossover and mutation operators and weakly interacting populations were used. The objective function takes into account the specific manufacturing of nodal joints for trusses with profiles of sections as binary angles. The cost of nodes is calculated on the basis of labor costs and materials used in the design of welded joints. А computational scheme for optimizing steel trusses of rods with profiles as paired angle sections and welded nodal joints is developed. The proposed iterative procedure is based on an efficient evolutionary algorithm for parametric synthesis of bearing systems that takes into account the valuation of materials and labor cost for the production of the structure. The example of optimal designing a secondary truss in frame building is considered. The solutions obtained as a result of optimization, considering the cost of nodes and not considering it, are compared. The above example confirms the efficiency of the proposed computational procedures.