The invention relates to the technical field of AGV cooperative scheduling, in particular to an AGV cooperative scheduling method and system based on an ant colony algorithm and a genetic algorithm, and the method comprises the steps: S1, determining a starting point and an ending point of each AGV on a two-dimensional map model; S2, selecting an optimal path of each AGV according to an ant colonyalgorithm; and S3, searching an optimal scheduling sequence of all AGVs according to a genetic algorithm. According to the method, under the condition that the map is established, optimal paths of all AGVs are solved through an ant colony algorithm, the time overhead is calculated according to node division road sections, then the genetic algorithm is utilized to perform global optimization on multiple targets, the AGV scheduling arrangement strategy with short time consumption is obtained, balanced scheduling of all AGVs is ensured. The problem that a single algorithm cannot perform balancedscheduling on all AGVs working at the same time is solved. Meanwhile, compared with the conventional single scheduling algorithm, the cooperative scheduling method adopting the ant colony algorithm and the genetic algorithm has the advantages of lower time complexity and higher iteration speed.