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�������պ����ѧѧ�� 2008, Vol. 34 Issue (02) :193-196    DOI:
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2. �й����չ�ҵ��һ���Ź�˾ ��������豸�о���, ���� 471009
Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm
Xiong Wei1, Ding Quanxin2, Chen Zongji1, Zhou Rui1*
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 ��, Luoyang 471009, China

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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.
Keywords�� formation assignment   fuzzy clustering   genetic algorithms   optimization     
Received 2007-02-05;
Fund:

����863������Ŀ(2006AA04Z260);������Ȼ��ѧ������Ŀ����(60674103);���տ�ѧ����������Ŀ(2006ZC51026)

About author: �� ΰ(1981-),��,������ұ��,˶ʿ��,dept3buaa@163.com.
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��ΰ,��ȫ��,���ڻ�,����.�����Ŵ�ģ������Ļ�Ⱥ������ŷ��䷽��[J]  �������պ����ѧѧ��, 2008,V34(02): 193-196
Xiong Wei, Ding Quanxin, Chen Zongji, Zhou Rui.Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(02): 193-196
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