Feed cost optimization with differential evolution algorithm

Animal foods at all times has been of great importance to people's nutrition. Increases in world population, increased the importance of the countries economy on animal husbandry. Countries enhancing the production of animal products or the development of animal husbandry for the use of high-yield breeds to meet the needs of the animals, as well as rations should be prepared. Scientific nutrition program according to the type of animal, age and the expected of animal yield varies. In terms of these criteria, the programs of optimization, provender and cost were prepared by using one of the methods of DGA. Cost optimizations were practiced in the distraction of the various animal types. It has been seen that the results were among the acceptable values.