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Volume 40 Issue 10
Oct.  2014
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Journal of Beijing University of Aeronautics and Astronautics  > 2014  >  40(10): 1424-1429.
Yan Ji, Li Xiangmin, Liu Lijia, et al. Weapon-target assignment based on Memetic optimization algorithm in beyond-visual-rang cooperative air combat[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1424-1429. doi: 10.13700/j.bh.1001-5965.2013.0643(in Chinese)
Citation: Yan Ji, Li Xiangmin, Liu Lijia, et al. Weapon-target assignment based on Memetic optimization algorithm in beyond-visual-rang cooperative air combat[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1424-1429. doi: 10.13700/j.bh.1001-5965.2013.0643(in Chinese)
shu

Weapon-target assignment based on Memetic optimization algorithm in beyond-visual-rang cooperative air combat

doi: 10.13700/j.bh.1001-5965.2013.0643
  • 1.

    Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical Institute, Yantai 264001, China

  • 2. Science and Technology on Electro-optic Control Laboratory, Luoyang Institute of Electro-optical Equipment of AVIC Luoyang 471009, China

  • Received Date: 06 Nov 2013
  • Publish Date: 20 Oct 2014
    Abstract
  • In beyond-visual-rang (BVR) cooperative air-to-air combat, weapon resources could be wasted if all weapon units are fully assigned at a time. To cope with the disadvantage, a new weapon-target assignment mathematical model based on the threshold of damage probability was proposed. The new model guarantees the threshold of damage probability by employing fewer weapon units to save and make full use of weapon resources. The proper fire units were assigned to the targets according to the priority of menace. Meanwhile, the maximum of the target damage probability average value can also be achieved. Based on the new model, a Memetic algorithm, using the discrete particle swarm optimization (DPSO) algorithm as the global search strategy and greedy algorithm as the local search strategy, was proposed to solve the weapon-target assignment problem. Simulation results show the advantage of the proposed new model and the effectiveness of Memetic algorithm.

     

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