How to use limited resources to obtain maximum benefits is one of the focuses in electronic warfare. For multi-target collaborative electronic countermeasures, an optimism assignment method of jamming resource is put forward, to solve the problem that jamming resource is generally not equal to the radar number. Aiming at the detection probability and positioning accuracy of the netted radar, a jamming decision task model based on multi-objective optimization is established. To solve the problem that the convenience rates of traditional artificial bee colony algorithm and ant colony algorithm are slow, crossover operation with optimal solution to current iteration is adaptively added, the general improvement strategy is put forward, and through the simulation experiment, the better rate of convergence of the algorithm is proved.