改进的自适应遗传算法及其在系统参数辨识中的应用 |
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引用本文: | 叶甲秋,楼佩煌.改进的自适应遗传算法及其在系统参数辨识中的应用[J].江苏电器,2010(3). |
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作者姓名: | 叶甲秋 楼佩煌 |
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作者单位: | 南京航空航天大学机电学院; |
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基金项目: | 江苏省精密与微细制造技术重点实验室基金资助项目(JSPM200701) |
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摘 要: | 为解决传统自适应遗传算法存在的不足,在实数编码策略和精英保留策略的基础上,提出了一种改进的自适应遗传算法,对遗传操作的交叉概率和变异概率进行了改进。将其应用于系统参数辨识,结果证明该算法具有更高的辨识精度和更强的抗噪声能力。
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关 键 词: | 自适应遗传算法 实数编码 精英保留 参数辨识 |
Improved Adaptive Genetic Algorithm and Its Application in Parameter Identifi cation |
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Authors: | YE Jia-qiu LOU Pei-huang |
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Affiliation: | College of Mechanical and Electrical Engineering/a>;Nanjing University of Aeronautics and Astronautics/a>;Nanjing 210016/a>;China |
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Abstract: | In order to solve the deficiency of the traditional adaptive genetic algorithm (AGA),an improved adaptive genetic al-gorithm (IAGA) was presented on the basis of introduction to the real-coding strategy and the elitism strategy. The crossover prob-ability and mutation probability of genetic operation were improved in this algorithm. With the algorithm applied to the system parameter identification,the result proves that this algorithm is in possession of higher identification precision and stronger anti-noi... |
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Keywords: | adaptive genetic algorithm real-coding elitism parameter identifi cation |
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