Abstract: In this paper, the related mathematical model is established for the scheduling problem of intelligent manufacturing unit, an improved genetic algorithm is proposed to solve the problem. In the initialization process of the algorithm, the hill climbing algorithm is added to improve the quality of the initial solution, and in the cross operation, the crossover operator is improved by using a method of guiding the partial chromosomes of the current population to improve the crossover operator to expand the algorithm Search ability. Finally, an example is used to verify the algorithm, the results show that its performance is better than traditional genetic algorithm.