Abstract
Weapon-target assignment process with uncertainty and unpredictability, sometimes need to be aborted, and then distribute the firepower units immediately when there are many new targets or an emergency. The assignment results may not be the global optimal, but should be the best under the influence of the current state, that is, the algorithm has anytime property. Now the algorithm to solve the question of weapon target assignment can be roughly divided into three types, including the traditional algorithm, the intelligent algorithm and the hybrid algorithm combined the above two kinds of algorithm. Aiming at the problem, the optimization goal is to make the kill probability maximum, we put forward an improved anytime algorithm based on the particle swarm taboo hybrid search algorithm to solve the model, the simulation results show that this algorithm has good stability, can stop calculation and give the current optimal solution at any time. It has important practical significance.
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