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You have an object, which should be improved by optimum coordination of several independent parameters, and executable mathematical model of this object, which computes its efficiency index depending on these parameters. Using IOSO NS 1.3, you can quickly and efficiently solve non-linear parametric optimization problem with dimensionality up to 5 independent variables and 5 functional inequality constraints. Unlike the gradient methods, IOSO NS utilizes approximation techniques and works robustly with discontinuous, non-differentiatable, noised and locally incomputable objectives and constraints. Software has friendly user interface. It doesn’t require from user to be an expert in a field of numerical optimization. The only thing required from user is to make a correct statement of optimization problem and prepare mathematical model input and output. IOSO NS has extended help system and samples of optimization projects.