Optimizing Chicken Feed Using Evolution Strategies (ES) Algorithm
Abstract
In the current livestock industry, developing effective and efficient methods to optimize chicken nutrition is a major challenge in the world of farming, given the increasing market demands where consumers always seek the best quality. In this research, we are applying the Evolution Strategies (ES) algorithm to optimize the chicken feed composition to enhance growth and production efficiency. Our experiments involve testing various combinations of parameters, including population size, recombination probability, and mutation rate. This approach can assist farmers in maximizing production and improving animal welfare.