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�������պ����ѧѧ�� 2009, Vol. 35 Issue (6) :673-677    DOI:
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����ϼ1, �߽�Ƽ1, �Ļ���2, ������3*
1. �������պ����ѧ ����ϵͳ����ϵ, ���� 100191;
2. ����ƹ����Ŷ�Ժ ���ʲ�, ���� 100854;
3. �������պ����ѧ ����ϵͳ����ϵ, ���� 100191
Genetic algorithm-based decomposition method for multidisciplinary design optimization
Chen Yunxia1, Gao Jieping1, Xia Huafeng2, Zeng Shengkui3*
1. Dept. of System Engineering of Engineering Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. Dept. of Materials, the Second Academy of China Aerospace Science & Industry Corn, Beijing 100854, China;
3. Dept. of System Engineering of Engineering Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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ժҪ ͨ���������еĶ�ѧ������Ż�������ֽⷽ��(ö�ٷ�������ʶ�𷨺ͷ�֧���編)���ص�,ָ�������з����IJ���.����˽��Ŵ��㷨Ӧ�����Ż�����ķֽ�����,�����˾�����㷨��������ϸ������ֽ��㷨����,�������ܽ�����˸��㷨���ŵ�:���Ŵ��㷨�������ռ�û���κ�Ҫ��,��˶Ժ�����ϵ����(FDT,Function Dependence Table)Ҳû���κ�Ҫ��;���Ŵ��㷨��һ�������������,����Ҫ���Ƴ�ֵ;���Ŵ��㷨ͬʱ��һ����������,�������������ٶ�,�ڱ�֤���㾫�ȵĻ����ϵõ�ȫ�����Ž�.����Գ��ּ������Ż�����Ϊ��,���Ŵ��㷨Ӧ�����������������ֽ����,�õ��˽�Ϊ����ķֽ���,���Ӽ��㷽�������ĽǶȶ����رȽ�����������������з���������,�Ӷ�֤���˸÷�������ȷ�Ժ���Խ��.
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Abstract�� Based on the analyzing of current methods of solving task decomposition problem in MDO, such as enumerate algorithm, clustering identification method, branch and bound method(BBM), their disadvantages were pointed out. Then, the description and detailed flow were delivered. The advantages of GA were described as follows: first, there is no special request for search space and function dependence table (FDT); second, GA is a stochastic iterative method, so the initial value is unnecessary; third, GA searches from a group of solutions simultaneity, which improves the search speed and gets global optimal solution with higher accuracy. Finally, the gear reducer optimization problem was taking as an example and GA was used. The analyzing result was acceptable. The calculation quantity was reduced rapidly. The correctness and advantage of the GA were proved when compared the calculation quantity with the methods mentioned before.
Keywords�� multidisciplinary design optimization (MDO)   genetic algorithm   task decomposition     
Received 2008-12-09;
About author: ����ϼ(1977-),Ů,���ջ�����,������,chengyunxia@buaa.edu.cn.
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����ϼ, �߽�Ƽ, �Ļ���,������.�����Ŵ��㷨�Ķ�ѧ������Ż��ֽⷽ��[J]  �������պ����ѧѧ��, 2009,V35(6): 673-677
Chen Yunxia, Gao Jieping, Xia Huafeng,Zeng Shengkui.Genetic algorithm-based decomposition method for multidisciplinary design optimization[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(6): 673-677
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