Genetic algorithm on dairy milk yield maximization

The purpose of Genetic Algorithm on Dairy Milk Yield Maximization is to prepare a special dairy feed ratio for maximizing Holstein type cows milk yield. Milk yield maximization is a nonlinear problem that?s why Nonlinear Programming Methods are used first. After that Genetic Algorithms, which is a Heuristic Method, used for solving the same problem then the Genetic Algorithm results have been compared with Nonlinear Programming results. Individuals are the key element of Genetic Algorithms, which are combination of 16 raw materials in random amounts. Afterwards the total weight of individuals is proportioned to a fixed value in our study. Living needs of dairy cow subtracted from feeds total nutrient values and Individuals milk yields are calculated from that results depending on animals body weight. Heuristic Algorithms may not achieve the best of all the actual solutions because of that we run our program 100 times and recorded the best feed (individual) every time at last we choose the best solution from these records. After the Genetic Algorithm Process we achieve solutions that are about 60 percent efficient than the Nonlinear Programming. Key Words 1. Genetic Algorithms 2. Milk Capacity 3. Feed Ratio 4. Animal Feeding