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《Journal of Beijing University of Aeronautics and Astronautics》 2009-06
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Genetic algorithm-based decomposition method for multidisciplinary design optimization

Chen Yunxia Gao Jieping(Dept.of System Engineering of Engineering Technology,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)Xia Huafeng(Dept.of Materials,the Second Academy of China Aerospace Science & Industry Corn,Beijing 100854,China)Zeng Shengkui (Dept.of System Engineering of Engineering Technology,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)  
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.
【CateGory Index】: TP18
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