The invention relates to the technical field of electric energy detection and specifically relates to a genetic algorithm based hybrid flow line scheduling method for electric energy meter detection.The method includes generating an initial population having a population scale N randomly; calculating a target value of each individual in the population and the non-dominating level and crowding degree of each individual; performing intersection and mutation operation on individual in the population; combining the population with a child population, calculating the target value of each individual in the population obtained through combination and the non-dominating level and crowding degree of each individual; selecting N individuals from the population obtained through combination accordingto the non-dominating level and crowding degree of each individual for forming a new population. According to the invention, a model of single individual and multiple individuals is taken into account. Therefore, the flexibility of the scheduling method is improved. At the same time, better convergence and diversification are achieved.