| 基于遗传算法的泵汽蚀试验数据拟合 |
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| 引用本文： | 唐平,李金伴,张荣标.基于遗传算法的泵汽蚀试验数据拟合[J].排灌机械,2002,20(1):37-39,46. |
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| 作者姓名： | 唐平 李金伴 张荣标 |
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| 作者单位： | 江苏大学电气信息工程学院 |
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| 摘 要： | 文章对标准的遗传算法进行改进，采用了浮点数直接编码方式最优保留策略、算术交叉和非一致性变异算法等方法，并对泵汽蚀试验数据拟合问题进行分析，引入了此改进的遗传算法。最后给出了一组汽蚀试验数据，分析采用常规方法拟合和基于遗传算法拟合。结果说明了本文提出方法的可行性。
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| 关 键 词： | 泵 汽蚀 试验 数据似合 遗传算法 |
| 文章编号： | 1005-6254(2002)01-0037-04 |
The Fitting of Pump's Cavitation Test Data Based on Genetic Algorithms |
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| TANG Ping,LI Jin-ban,ZHANG Rong-biao.The Fitting of Pump''''s Cavitation Test Data Based on Genetic Algorithms[J].Drainage and Irrigation Machinery,2002,20(1):37-39,46. |
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| Authors: | TANG Ping LI Jin-ban ZHANG Rong-biao |
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| Abstract: | In this paper, an improvement of GA is discussed, which uses the floating point representation, elitist model, arithmetic crossover, and non-uniform mutation. The problem of the fitting of pump's cavitation test data is analysed, and solve it based on the modified GA. In the end, there is a case, compared with the traditional fitting way and the modified GA, to show the method validity. |
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| Keywords: | Pump Cavitation Test Fitting Genetic Algorithms |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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