تجزیه و تحلیل رفتار الگوریتم های تطبیقی ​​اعمال شده به مشکلات بهینه سازی راه آهن

In this article we will analyse the proposed adaptive algorithm used for the search of the best timetables and ensuring train loco- motives as the task of finding the global extremum of the objective function, taking into account various types of interference in the input data. The focus of this paper is on the convergence and speed, as well as the impact of noise on the results obtained.