Particle swarm optimization method for air combat decision
A particle swarm optimization and decision-making technology, applied in special data processing applications, instruments, biological neural network models, etc., can solve problems such as poor accuracy and slow convergence speed, and achieve the effect of good search ability
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[0021] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.
[0022] A particle swarm optimization method for air combat decision-making, the process is as follows figure 1 shown, including the following steps:
[0023] Step 1: Obtain the current situation of the battlefield from the command center;
[0024] Obtain the current situation of the battlefield from the command center, including: the number of our aircraft, the number of enemy aircraft, the code name of the aircraft, the number of weapons carried by each aircraft, the position and attitude of all aircraft on the current battlefield, the current flight speed of the aircraft, the aircraft The maximum tracking distance of the radar and the effective range of the weapon.
[0025] Step 2: According to the current battlefield situation, the threat factor between aircraft is obtained through the empirical formula.
[0026] The empirical formula for the th...
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