Abstract: A hypothesis test based computing budget allocation combined with particle swarm optimization algorithm is proposed for range gate pull-off(RGPO) jamming strategy optimization problem in a stochastic optimization environment. Firstly, range gate pull-off jamming strategy optimization is modeled as a stochastic simulation optimization problem, and we propose a range gate pull-off jamming strategy evaluation scheme that does not rely on the internal information of the radar tracking system. Then, to improve the performance of the range gate pull-off jamming strategy, we propose a hypothesis test based computing budget allocation combined with particle swarm optimization algorithm for range gate pull-off jamming strategy optimization. Finally, numerical results are provided to verify the validity of the proposed method.