Optimization of machine columns design parameters by a gradient balance method under specified rigidity

The parameter optimization models of machine columns are formed that includes the functional criterion of quality (the dependence of the objective function on a constraint as an equality). To solve these models, an original method for optimization: a gradient balance method, which yields a specific comparative assessment of the impact of design parameters on the objective function has been developed. The optimal parameters of machine columns are calculated, and their impact on the objective function is evaluated.