This study was conducted to study the feasibility of hybrid genetic algorithm apply to the design of feed formulation. Hybrid genetic algorithm (HGA) was compared with 6 feed formulation methods in using: general linear programming (LP), goal programming (GP), fuzzy linear programming (FLP), stochastic programming (SP), simulated annealing research algorithm (SAA), and general genetic algorithm (GA). The results showed that hybrid genetic algorithm was satisfied with the constrained nutrient requirements and the ingredient restrictions, and costs of formula ingredients were reduced by different sizes also. The illustrations showed that hybrid genetic algorithm had the feasibility in the feed formulation.［Chinese Journal of Animal Nutrition, ２００9，２1（5）:703-710］