Economic Optimization of a Growth Trajectory for Broilers
构建动态模型选择肉鸡最优生长轨迹并计算饲料方案，利用补偿生长现象，通过非线性规划求解，可显著提高利润。
Abstract A dynamic model was constructed to select the economically optimal growth trajectory of broilers and compute the feeding schedule designed to satisfy the nutritional requirements along this trajectory. Alterations in the normal growth rates are possible by utilization of the phenomenon of compensatory growth which follows a period of feed restriction. The optimal trajectory is solved for by a reduced‐gradient nonlinear programming algorithm. The model calculates the daily optimal growth rates along with the corresponding requirements of total protein, amino acids, and energy in obtaining the optimal diets. A substantial increase in profits can be achieved by following this methodology.