In order to reduce the operation energy consumption of high-speed electric multiple units (EMUs), an energy consumption model of EMUs coasting under on-time constraints is established. On this basis, the adaptive genetic algorithm is used to optimize the coasting control strategy of EMUs in the middle operation stage, allocate the optimal position and number of key condition conversion points of coasting, and determine the coasting speed curve of train operation. As a result, the effects of the punctual and energy-saving operation are achieved.