Agricultural machinery cooperative operation often face the situation that multiple agricultural machines work together to complete multiple tasks in a working season. Reasonable task allocation before the operation can significantly improve the efficiency of the group’s operations and shorten the operating time.In order to solve the problem of static task allocation for multi-machine cooperation of the same kind of agricultural machinery,a static task allocation method of multi-machine cooperation based on multi-variation group genetic algorithm (MGGA)was studied. Firstly, according to the operation mode of agricultural machinery cooperatives and considering the operating time, the operating fuel consumption and the distance cost of the group comprehensive,a multi-machine cooperative cost function was established based on agricultural machine performance and task parameters. Secondly, based on the characteristics of multi-machine cooperative operation, a MGGA was designed and a static multi-machine cooperative task allocation model was established. Then, simulation experiment was carried out to compare and analyze the performance of the algorithm. And different weights were used for task allocation simulation experiments. Finally, practical experiment was carried out with different weights to verify the practicability of the algorithm by assigning tasks to actual deep loosening operations. Practical experiment results showed that the MGGA based task assignment multi-machine collaboration cost was 29.48%~55.00% lower than the actual work cost, which indicated that the MGGA based agricultural multi-machine cooperative static task allocation method had better distribution efficiency and higher distribution performance, and met the requirements of actual needs of agricultural multi-machine cooperative task allocation.