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�������պ����ѧѧ�� 2006, Vol. 32 Issue (08) :933-936    DOI:
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�߱�1, ����ΰ1, �����2, ����2*
1. �������պ����ѧ ������Ϣ����ѧԺ, ���� 100083;
2. �վ�װ���о��� �״���, ���� 100085
Genetic algorithm approach to the jammer′s layout for EW
Gao Bin1, Lü Shanwei1, Guo Qingfeng2, Zhang Na2*
1. School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2. The Radar Institute, Equipment Academy of Air Force, Beijing 100085, China

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Abstract�� The assignment problem of jamming resource for electronic warfare(ECM) plays a key role in utilizing jammer sufficiently and obtaining the optimal jamming effect. According to characteristics of modern electronic warfare(EW), the calculation formula of jammer′s avoidance ratio was investigated by use of search theory. The jamming force optimization apportion model was presented, and the limitation for Hungary method in settling this problem was illustrated. So combined with the intelligent optimization algorithm, a jamming force optimization apportion model based on genetic algorithm(GA) was presented. The symbol encoding style what was needed for the optimization apportion model was solved, and selection operator, cross operator and mutation operator were designed concretely. Two application examples were resolved using this model. The results show good practicability of the model, and the GA presented is effective and practical. GA can efficiently help commanders solve the complicate and difficult problem of jammer′s layout.
Keywords�� electronic warfare   genetic algorithm   encoding     
Received 2005-10-17;
About author: �� ��(1977-), ��, ɽ��������, ��ʿ��, gaobin@ee.buaa.edu.cn.
�߱�, ����ΰ, �����, ����.�Ŵ��㷨�ڵ���ս���Ź滮�е�Ӧ��[J]  �������պ����ѧѧ��, 2006,V32(08): 933-936
Gao Bin, L�� Shanwei, Guo Qingfeng, Zhang Na.Genetic algorithm approach to the jammer′s layout for EW[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(08): 933-936
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