Analysis of the adaptive algorithms behaviour applied to the railway optimization problems

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 pap...

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Bibliographic Details
Published in:Procedia computer science 2017, Vol.109, p.560-567
Main Authors: Pashchenko, F.F., Pashchenko, A.F., Kuznetsov, N.A., Minashina, I.K., Zakharova, E.M.
Format: Article
Language:English
Subjects:
adaptive identification
global extreme
identification
job-shop scheduling
multi-agent systems
optimization
railway control system
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Summary: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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2017.05.341