Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles

ugli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, Shokirovich, Tuganov Gafurdjan

Innovative Multidisciplinary Journal of Applied Technology · 2024-yil

Annotatsiya

The article discusses the basic concepts of a genetic algorithm and its components. Processes such as crossover selection and mutation are considered. In addition, a review of the works of scientists is provided, where the capabilities of genetic algorithms are actively used. The article discusses works that study image clustering using a genetic algorithm and the application of genetic algorithms to solve the problem of aircraft arrival scheduling in systems with multiple runways. The types of military unmanned aerial vehicles are also given and the advantages of using genetic algorithms in them are discussed.

Maqola ma’lumotlari
Mualliflarugli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, Shokirovich, Tuganov Gafurdjan
JurnalInnovative Multidisciplinary Journal of Applied Technology
NashriyotТДТУ Қўқон филиали
ISSN2995-486X, 2995-486x
Nashr sanasi2024-07-23
Jild2
Son6
Betlar149-156
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Kalit so‘zlar

Genetic algorithm, crossover, selection, mutation, chromosome, individual, population, unmanned aerial vehicles

Ilmiy soha

Iqtibos keltirish

APAugli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, & Shokirovich, Tuganov Gafurdjan (2024). Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles. Innovative Multidisciplinary Journal of Applied Technology, 2(6), 149-156. https://www.multijournals.org/index.php/innovative/article/view/1843
GOST (OAK)ugli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, Shokirovich, Tuganov Gafurdjan Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles // Innovative Multidisciplinary Journal of Applied Technology. – 2024. – T. 2, № 6. – P. 149-156.
MLAugli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, and Shokirovich, Tuganov Gafurdjan. “Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles.” Innovative Multidisciplinary Journal of Applied Technology, 2(6), 149-156, 2024. https://www.multijournals.org/index.php/innovative/article/view/1843
Chicagougli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, and Shokirovich, Tuganov Gafurdjan. “Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles.” Innovative Multidisciplinary Journal of Applied Technology, 2(6), 149-156 (2024). https://www.multijournals.org/index.php/innovative/article/view/1843
Harvardugli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, and Shokirovich, Tuganov Gafurdjan (2024) ‘Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles’, Innovative Multidisciplinary Journal of Applied Technology, 2(6), 149-156. https://www.multijournals.org/index.php/innovative/article/view/1843
BibTeX
@article{uglidavronovshokhjakhonrizamat2024,
  title = {Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles},
  author = {ugli, Davronov Shokhjakhon Rizamat and Davranovich, Shadiev Rizamat and Shokirovich, Tuganov Gafurdjan},
  journal = {Innovative Multidisciplinary Journal of Applied Technology},
  year = {2024},
  volume = {2},
  number = {6},
  pages = {149-156},
  url = {https://www.multijournals.org/index.php/innovative/article/view/1843}
}

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