应用遗传算法对混合流水车间的总作业时间最小的调度问题进行了研究。混合流水车间是一类特殊的流水车间环境，但其每一级可以有多个机床。所提出的算法基于表调度原理，首先给出在第一级工件的排列顺序，并在其后的各级采用先入先出（FIFO）方式。试验表明，所提出的遗传算法调度策略优先于原有的启发式及随机搜索方法。 Genetic algorithm is applied to study the scheduling problem with minimum total working time in mixed flow shop. Hybrid flowshop is a special type of flowshop environment, but it can have multiple machines at each level. The proposed algorithm is based on the principle of table scheduling. The order of the first-stage artifacts is given first, and the first-in-first-out (FIFO) mode is used at all subsequent stages. Experiments show that the proposed genetic algorithm scheduling strategy prior to the original heuristic and random search methods.