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

Year 2020, Volume: 3 Issue: 3, 81 - 88, 01.07.2020

Hasan Alp Sahin , Hasan Onder

https://doi.org/10.34248/bsengineering.684613

Abstract

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.

Keywords

Genetic algorithm, Particle swarm algorithm, Egg, Freshness

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