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�������պ����ѧѧ�� 2003, Vol. 29 Issue (8) :668-672    DOI:
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������, ʦ���*
�������պ����ѧ ���ù���ѧԺ, ���� 100083
Pareto genetic algorithms for multi-objective optimization of aircraft conceptual design
Fang Weiguo, Shi Ruifeng*
School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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ժҪ ���ڶ�Ŀ���Ż�����Pareto���Ž�ĸ���,�����һ�������ӽ⼯�Ķ�Ŀ���Ŵ��㷨,�ص��������㷨ʵ���з��ӽ⼯��ɸѡ����Ӧ�ȵļ���.�����㷨Ӧ���ڼ���ĸ��߿ͻ������Ż����,Ҫ��Ѳ��������Ⱥ������غ�ϵ������Ŀ�����,���Ż���������˷����Ƚ�.�о������ʾ��MOGA(Multi-Objective Genetic Algorithms)�Էɻ�������Ŀ���Ż���ƾ������õ�Ӧ��ǰ��.
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Abstract�� Based on the Pareto optimal conception, a kind of MOGA(multi-objective genetic algorithms) seeking non-inferior solution set of MO problems was proposed, while the filtering of non-inferior solutions and the measure of fitness degree were discussed as an emphasis. The algorithm proposed was applied to a two-objective optimization of a hypothetical airliner conceptual design, where both the ratio of lift to drag in cruise segment and the useful load fraction were required to be maximized. The optimal solutions were analyzed and compared to the solution from uni-objective optimization using simple genetic algorithms. The research result demonstrates that MOGA possesses good application foreground for aircraft conceptual multi-objective optimization.
Keywords�� multiple objective optimization   aircraft design   genetic algorithms   Pareto optimal     
Received 2002-06-13;
About author: ������(1969-),��,����������,������, wgfang@buaa.edu.cn.
������, ʦ���.�ɻ�������Ŀ���Ż���Pareto�Ŵ��㷨[J]  �������պ����ѧѧ��, 2003,V29(8): 668-672
Fang Weiguo, Shi Ruifeng.Pareto genetic algorithms for multi-objective optimization of aircraft conceptual design[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2003,V29(8): 668-672
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