Article ID Journal Published Year Pages File Type
4961209 Procedia Computer Science 2017 8 Pages PDF
Abstract

: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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
Authors
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