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Weapon system deployment optimization based on a sub-objective evolutionary algorithm for key point air defense

LEI Yu-yao, JIANG Wen-zhi, LIU Li-jia, LIU Tao   

  1. Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Online:2016-01-30 Published:2010-01-03

Abstract:

Based on the characteristic of modern air attack and air defense, a model that near and medium distance is ringshaped deployment and fan shaped deployment which is far from the key point is established.Because of different distance from the keypoint, there are different air attack targets.The deployment area is divided into three layers.Considering the fire equality, fire depth, fringe deployment, covering network, and relay guidance factors, a highdimensional objectives function for airdefense weapon system deployment is built.By sorting the value of the sub-objective function, the searching steps are reduced.Then, a sub-objective evolutionary algorithm (SOEA) is put forward and the theoretical feasibility is proved.The performance of the SOEA is better than other high dimensional objectives optimization algorithms.The simulation results of a deployment example show that the SOEA and the high dimensional objectives model is correct and feasible.

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