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基于浮点数编码GA的多参数寻优 被引量:3

Finding Optiaml Multivariable based on Floating Encoding Genetic Algorithms
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摘要 提出了一种基于浮点数编码遗传算法学习模糊控制器前件、后件参数的方法。对采用二进制编码和浮点数编码,遗传算法的执行效率进行了研究,并结合实例,说明浮点数编码在多参数寻优中具有很好的效率。 This text bring up a method studying the ex-piece and empress piece of fuzzy controller based on floating encode genetic algorithms.Research on the efficiency of binary encode and floating encode is demonstrated here.And by actual sample,the high efficiency of floating encode genetic algorithms is shown.
出处 《计算机仿真》 CSCD 2003年第9期98-100,共3页 Computer Simulation
关键词 遗传算法 参数寻优 浮点数编码 GA 随机化搜索算法 Floating encode Controller Multivariable Nonlinear
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参考文献4

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共引文献168

同被引文献13

  • 1王素,王永,高峰.并入约束的二次曲面重构[J].机械科学与技术,2004,23(8):890-896. 被引量:1
  • 2刘雪梅,张树生,皇甫中民.基于实数编码遗传算法的二次曲面提取[J].工程图学学报,2005,26(2):13-17. 被引量:1
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  • 4D Marshall, G Lukacs, R Martin. Robust Segmentation of Primitives from Range Data in the Presence of Geometric Degeneracy[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(3) :304 - 314.
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  • 9Chen H Y, Liu C Y. Quadric surface extraction using genetic algorithms [J]. Computer-Aided Design, 1999,31: 101-110.
  • 10Marshall D, Lukacs G, Martin R. Robust segmentation of primitives from range data in the presence ofgeometric degeneracy [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001,23(3): 304-314.

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