67344

Автор(ы): 

Кулида Е. Л. (ИПУ РАН, Лаборатория 46)
Егоров Н. А. (ИПУ РАН, Лаборатория 46)
Лебедев В. Г. (ИПУ РАН, Лаборатория 46)

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Comparison of Two Algorithms for Solving the Problem Aircraft Arrival Sequencing and Scheduling

DOI: 

10.1109/MLSD52249.2021.9600243

Наименование конференции: 

  • 2021 14th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 14th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2021

Страницы: 

https://ieeexplore.ieee.org/document/9600243
Аннотация
The paper proposes a genetic algorithm with an original crossover operator and a hybrid algorithm that allows increasing the efficiency of the genetic algorithm at the final stage of solving the problem. We also compare the efficiency of the proposed hybrid algorithm and the well-known genetic algorithm with the representation of chromosomes in the form of binary matrices.

Библиографическая ссылка: 

Кулида Е.Л., Егоров Н.А., Лебедев В.Г. Comparison of Two Algorithms for Solving the Problem Aircraft Arrival Sequencing and Scheduling / Proceedings of the 14th International Conference "Management of Large-Scale System Development" (MLSD). М.: IEEE, 2021. С. https://ieeexplore.ieee.org/document/9600243.