31804

Автор(ы): 

Автор(ов): 

5

Параметры публикации

Тип публикации: 

Доклад

Название: 

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

Электронная публикация: 

Да

ISBN/ISSN: 

1877-0509

Наименование конференции: 

  • The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014), Halifax, Nova Scotia, Canada

Наименование источника: 

  • Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014, Halifax, Nova Scotia, Canada)

Обозначение и номер тома: 

Volume 37

Город: 

  • Halifax, Canada

Издательство: 

  • Elsevier B.V.

Год издания: 

2014

Страницы: 

211-219, URL http://www.sciencedirect.com/science/article/pii/S1877050914009971
Аннотация
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.

Библиографическая ссылка: 

Пащенко Ф.Ф., Минашина И.К., Захарова Е.М., Рябых Н.Г., Кузнецов Н.А. Design and Analysis of Optimization Algorithms for Multi-agent Railway Control System / Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014, Halifax, Nova Scotia, Canada). Halifax, Canada: Elsevier B.V., 2014. Volume 37. С. 211-219, URL http://www.sciencedirect.com/science/article/pii/S1877050914009971.