With the continuous development of radar technology, the mobile platform radar system plays an increasingly crucial role in military and civilian target detection. Radar beam optimization scheduling is a key link in achieving rapid target detection. This paper addresses the issue of radar beam scheduling for mobile platform radar detection, with the shortest target detection time as the optimization objective. A mathematical model for radar beam scheduling is established, and the optimization scheduling effects of particle swarm algorithm, simulated annealing algorithm, and genetic algorithm on radar beams are analyzed. Furthermore, a radar beam time resource optimization method based on simulated annealing particle swarm algorithm is proposed. Through simulation verification, the proposed algorithm demonstrates better optimization scheduling effects, providing a reference method for the application of radar beam optimization scheduling on mobile platform radar.