Ration Preparation of Dairy Cows with an Innovative Method: A Multi-Objective Optimization Approach

The livestock sector, particularly in the realm of dairy farming, is actively immersed in diverse research initiatives aimed at grappling with economic challenges and refining feeding strategies. The process of ration preparation within this sector involves meticulous planning, intending to fulfill the daily nutritional needs of animals and optimize their performance. This comprehensive planning takes into account various factors, including the animals' characteristics, physiological conditions, productivity levels, and environmental influences. The critical aspect of selecting and determining the quantity of feeds in the ration preparation process significantly influences animal health, efficiency, and economic viability. Employing artificial intelligence, specifically the multi-objective optimization method, proves highly effective in tackling these intricate challenges. This method strives to formulate optimal rations by concurrently considering diverse objectives, such as different nutrients and cost factors. In this article, a feeding strategy within the livestock sector is crafted using Multi-Objective PSO (MOPSO), a notable multi-objective optimization method, to generate cost-effective rations. In comparison with several existing systems, the proposed method consistently demonstrates noteworthy effectiveness.