| 基于遗传算法的大型空间结构模型降阶 |
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| 引用本文： | 陈根社,文传源,李必江.基于遗传算法的大型空间结构模型降阶[J].航空学报,1997,18(1):104-107. |
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| 作者姓名： | 陈根社 文传源 李必江 |
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| 作者单位： | 北京航空航天大学自动控制系，沈阳飞机研究所１２室 |
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| 摘 要： | 采用遗传算法求解大型空间结构的模型降阶问题。给出了模型降阶的数学表示和所用遗传算法的有效形式，即编码方式、适值方式、交叉方式和变异方式等。仿真实例说明，遗传算法优于标准内平衡法和Hopfield神经网络方法。
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| 关 键 词： | 遗传－算法 模型－降阶 神经网络 |
MODEL REDUCTION FOR LARGE SPACE STRUCTURAL SYSTEMS VIA GENETIC ALGORITHMS |
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| Chen Genshe,Wen Chuanyuan.MODEL REDUCTION FOR LARGE SPACE STRUCTURAL SYSTEMS VIA GENETIC ALGORITHMS[J].Acta Aeronautica et Astronautica Sinica,1997,18(1):104-107. |
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| Authors: | Chen Genshe Wen Chuanyuan |
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| Institution: | 1. Dept. of Auto. Control, Beijing University of Aeronautics and Astronautics,Beijing,100083;2. The 12th Division, Shenyang Aircraft Institute, Shenyang, 110035 |
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| Abstract: | The model reduction problem of large space structure is solved by direct numerical optimization using genetic algorithms. The mathematic model of the problem and the used genetic algorithms are given. The success of genetic approach is illustrated through examples, including the model reduction of a two bay truss. Results are compared to those obtained by standard internal balancing and by a Hopfield neural network approach. It is concluded that genetic algorithms are a viable solution to the model reduction problem of large space structures. |
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| Keywords: | genetic algorithms model reduction neural nets |
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