The efficiency of varying parameters when optimizing reinforced concrete structures

The actual issue is considered related to the purpose of the type of variable parameters, their number and grouping of structural elements in the optimization of reinforced concrete structures. The genetic search algorithm is used to solve the problem of minimizing the cost of frame systems. The rate of convergence of the iterative procedure is taken as one of the criteria for the significance of the parameter when varying. The comparison of optimization results for a reinforced concrete beam and a frame is given. A conclusion is made about the expediency of varying parameters of different types and their ranking is performed from the standpoint of the goal function sensitivity to parameter changing.