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Volume 34 Issue 02
Feb.  2008
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Journal of Beijing University of Aeronautics and Astronautics  > 2008  >  34(02): 193-196.
DONG Chao-yang, SHI Xiao-rong, ZHANG Ming-lianet al. Modelling and Fuzzy VariableStructure Control of Agile Missile[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(1): 21-24. (in Chinese)
Citation: Xiong Wei, Ding Quanxin, Chen Zongji, et al. Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(02): 193-196. (in Chinese)
shu

Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm

  • 1.

    School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. Luoyang Institute of Optic-Electronic Equipment, China Aviation Industry Corporation Ⅰ, Luoyang 471009, China

  • Received Date: 05 Feb 2007
  • Publish Date: 29 Feb 2008
    Abstract
  • Aiming at the low efficiency, fallibility of formation assignment result and lack of intelligence in optimized formation assignment for large-scale air fleet, a new hybrid genetic fuzzy clustering algorithm (GFCA) was proposed for large-scale air fleet optimized formation assignment by incorporating the fuzzy clustering algorithm into the genetic algorithm (GA). The GFCA solved the uncertainty problem of formation assignment for air fleet by fuzzy clustering algorithm, avoided the local minima and was robust to initialization by using improved GA, with new genetic arithmetic operators, so as to obtain the global optima for formation assignment quickly. The results of two examples show that the GFCA has better generalization, effectiveness and intelligence, and it is applicable to optimized formation assignment for large-scale air fleet.

     

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