“…Stochastic optimization, especially with quick convergence, may be very powerful tool in those situations, where constraints are vague, optimization criterion is defined by a recipe, not a math formulation, and the dimensionality of the decision space is very large. It may a typical management problem (Kozien and Kozien, 2017;Kielbus and Karpisz, 2019), but also a research investigation (Radek et al, 2014;Augustyn and Kozien, 2014;Opydo et al, 2016;Szczotok et al, 2018) or development (Karpisz and Kielbus, 2018;Pacana and Pacana, 2018;Radek et al, 2018) with many factors. This approach can be particularly useful in numerical experiments when the object under study is a mathematical model with high complexity.…”