In order to identify the threat types of small targets in complex sea and sky background according to operational rules. Using GA to modeling operational rules of the targets which include the action trajectory and the action speed. On the basis of crossover operator, mutation operator of GA to generate the original population. Calculating the optimal individual adaptive value, which take as the discriminating reference value. Comparison of adaptive function values of target actual motion trajectory and adaptive function of optimal motion trajectory value results to verify the validity of the modeling. Due to particularity of the battlefield ,less the priori knowledge of the attack target, can not achieve feature comparison in the cases to recognition. Decompose the operational rules into multi-function optimization problem which is GA skilled.
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