Abstract: Aiming at the problems of excessive machine load and idle machines caused by uneven production time distribution of processing machines in the workshop production process, a multi-objective flexible job shop scheduling model including balanced machine utilization was established, and an improved genetic algorithm was designed. Using POX crossover operator and multi-point crossover method, using neighborhood-based mutation operator. Finally, the experimental results verify that the algorithm is suitable for solving this kind of multi-objective flexible job shop scheduling problem, and the improved algorithm is also better than other comparison algorithms.