Analysis of the adaptive algorithms behaviour applied to the railway optimization problems
Author(s) -
Ф.Ф. Пащенко,
А.Ф. Пащенко,
N. A. Kuznetsov,
I.K. Minashina,
E. M. Zakharova
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.05.341
Subject(s) - computer science , focus (optics) , convergence (economics) , task (project management) , algorithm , noise (video) , function (biology) , interference (communication) , mathematical optimization , artificial intelligence , telecommunications , channel (broadcasting) , physics , mathematics , management , evolutionary biology , optics , economics , image (mathematics) , biology , economic growth
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.
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