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.
| Mualliflar | ugli, Davronov Shokhjakhon Rizamat, Davranovich, Shadiev Rizamat, Shokirovich, Tuganov Gafurdjan |
|---|---|
| Jurnal | Innovative Multidisciplinary Journal of Applied Technology |
| Nashr sanasi | 2024-07-23 |
| Jild | 2 |
| Son | 6 |
| Betlar | 149-156 |
| Til | Ingliz |
Genetic algorithm, crossover, selection, mutation, chromosome, individual, population, unmanned aerial vehicles
In the quest to advance construction materials, enhancing the performance of cement paste is critical, particularly in addressing challenges related to workability and shrinkage. This study investigates the potential of…
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