Black Sea Journal of Engineering and Science

Black Sea Journal of Engineering and Science

The use of genetic algorithm and particle swarm algorithm in determining egg freshness

Yazarlar: Hasan Alp SAHİN, Hasan ONDER

Cilt 3 , Sayı 3 , 2020 , Sayfalar 3 - 4

Konular:Mühendislik

Anahtar Kelimeler:Genetic algorithm,Particle swarm algorithm,Egg,Freshness

Özet: In this study, it is aimed to determine the genetic algorithm optimization (GAO) and particle swarm algorithm optimization (PSO) activities in the artificial intelligence applications group. As experimental material, 50 eggs were photographed for 29 days and the images were used as data. According to the findings, the coefficient of determination obtained from the PSO classification was 0.07 and the coefficient of determination obtained from the GAO classification was 0.14. The results obtained from the GAO and PSO algorithms used to determine the freshness of the egg show that both methods are insufficient for the specified purpose. The coefficient of determination obtained were quite low and it was understood that these two methods could not be used to determine the freshness of eggs.

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@article{2020, title={The use of genetic algorithm and particle swarm algorithm in determining egg freshness}, number={3–4}, publisher={Black Sea Journal of Engineering and Science}, author={Hasan Alp SAHİN,Hasan ONDER}, year={2020} }
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Hasan Alp SAHİN,Hasan ONDER. (2020). The use of genetic algorithm and particle swarm algorithm in determining egg freshness. Black Sea Journal of Engineering and Science.
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Hasan Alp SAHİN,Hasan ONDER. The Use of Genetic Algorithm and Particle Swarm Algorithm in Determining Egg Freshness. no. 3–4, Black Sea Journal of Engineering and Science, 2020.
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