In this paper, the platform resource scheduling problem has been carefully studied. Aimed at the DLS that is liable to plunge into local optima, this paper presents an approach to solving the problem based on the dynamic list scheduling (DLS) and niche genetic algorithm (NGA). Task intense is introduced to describe the dynamic loss of the platform capacity in the process of combat. By taking the finish-time of mission as an index and on the premise of guaranteeing the platform resource utilization ratio, the NGA with overall importance is adopted to get the best approach to platform resource scheduling. Finally, through a case of joint campaign, a conclusion is obtained that the use of proposed approach can make the mission finished in short time, which provides a basis for battlefield resource scheduling.