Abstract
The use of the modeling process in animal nutrition has found many applications. Therefore, using artificial intelligence and optimization techniques is inevitable to pay attention to all the needs and nutrient degradability and degradation fraction. This study aimed to investigate the use of particle swarm optimization (PSO) to describe the disappearance curves of oats, and beans cuts. This paper uses the first-order kinetic model to describe the disappearance of rumen dry matter (DM) and crude protein (CP) for oats and bean cuts. The results showed that the model fitted the disappearance data well (R2 > 0.98), with minor differences in statistical evaluation. Also, reducing the number of iterations increased the merit of this method. To conclude, the utilization of PSO for degradability curve fitting is recommended.
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The experiment was supported by TÜBİTAK-ARDEB under project number of 121E098.
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Milani, M. (2023). Fitting Curves of Ruminal Degradation Using a Metaheuristic Approach. In: Akan, T., Anter, A.M., Etaner-Uyar, A.Ş., Oliva, D. (eds) Engineering Applications of Modern Metaheuristics. Studies in Computational Intelligence, vol 1069. Springer, Cham. https://doi.org/10.1007/978-3-031-16832-1_9
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