Aimed at the problem that the uncertain factors exert an influence on platform resource scheduling scheme in the battlefield environment, a platform resource scheduling adaptive optimization method for uncertain events is proposed. In consideration of the uncertainties of both platform loss and task processing time, a mathematical model of adaptive optimization problem of platform resource scheduling with maximum task execution efficiency as objective function is established, According to the uncertainty of the event on the platform resource capacity or task attributes to determine whether to trigger the adaptive optimization of scheduling, a method of solving the problem based on cloud genetic algorithm is designed. The simulation results show that a better relation between platform and task is obtained by using cloud genetic algorithm and the mission completion time is shorten.