Abstract: In order to accelerate the process of industrialized management of animal husbandry, regulate the behavior of livestock and poultry trading, and reasonably lay out the construction of livestock and poultry slaughtering center, based on the method of immune optimization algorithm to solve the objective function, this study simulated the coordinates of 31 breeding areas and obtained the demand degree of each breeding area. Matlab software toolbox was used to model and solve the problem, and 6 of the 31 breeding areas were selected as the optimal center point, which was the construction point of livestock slaughtering center. The results showed that the immune algorithm had good convergence in solving the center location problem; the location results were（18,25,5,27,9,14）, and the sum of the weight distance of the demand of each breeding area was 5.68×10~5. It indicated that the Matlab immune algorithm was suitable for solving a large number of datasets, and the model and the algorithm were feasible and effective.