Design and Analysis of Optimization Algorithms for Multi-agent Railway Control System | Zendy

N. A. Kuznetsov | Zendy; I.K. Minashina | Zendy; Ф.Ф. Пащенко | Zendy; N.G. Ryabykh | Zendy; E. M. Zakharova | Zendy

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Design and Analysis of Optimization Algorithms for Multi-agent Railway Control System

Author(s) -

N. A. Kuznetsov,

I.K. Minashina,

Ф.Ф. Пащенко,

N.G. Ryabykh,

E. M. Zakharova

Publication year - 2014

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.2014.08.032

Subject(s) - computer science , schedule , mathematical optimization , optimization problem , genetic algorithm , stochastic optimization , optimization algorithm , control (management) , algorithm , artificial intelligence , machine learning , mathematics , operating system

The paper is concerned with the schedule optimization problem in the railway control systems. The schedule optimization problem has been formulated as a problem of finding the global extreme of the fitness function. Authors propose 2 different methods for the problem solving using mathematical optimization technologies, namely stochastic optimization algorithm, and the genetic algorithm respectively

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