70900

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Graph Methods for Improving the Non-Optimal Solution of the Locomotive Assignment Problem under Time Constraints

Электронная публикация: 

Да

ISBN/ISSN: 

1078-6236

DOI: 

10.25728/assa.2022.22.2.1212

Наименование источника: 

  • Advances in Systems Science and Applications

Обозначение и номер тома: 

Vol 22 No 2 (2022)

Город: 

  • Slippery Rock, Pennsylvania, USA

Издательство: 

  • International Institute for General Systems Studies

Год издания: 

2022

Страницы: 

46-61 https://ijassa.ipu.ru/index.php/ijassa/article/view/1212
Аннотация
Finding the optimal assignment of locomotives to fulfill freight train transportation schedule under time constraints is a complex problem, even on a linear section of the railway. In previous studies, a graph model was proposed that allows solving the assignment problem using a static graph algorithm. It was proved that finding the optimal assignment without constraints is equivalent to finding the minimal path cover of a specific acyclic graph. However, due to time constraints, the optimal solution may not be valid. This paper presents methods for modifying the found solution in order for it to satisfy the time constraints on locomotives. Two operations on path in the minimal path cover of a graph are introduced: crossover and changeover. They allow to rebuild the found solution without spoiling the admissible sequences of transportation, while the invalid ones are corrected.

Библиографическая ссылка: 

Жилякова Л.Ю., Корешков В.Р. Graph Methods for Improving the Non-Optimal Solution of the Locomotive Assignment Problem under Time Constraints // Advances in Systems Science and Applications. 2022. Vol 22 No 2 (2022). С. 46-61 https://ijassa.ipu.ru/index.php/ijassa/article/view/1212.