| 用遗传算法对模糊量的隶属函数进行优化 |
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| 引用本文： | 张新燕,王维庆.用遗传算法对模糊量的隶属函数进行优化[J].山东工业大学学报,2005,35(5):45-47. |
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| 作者姓名： | 张新燕 王维庆 |
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| 作者单位： | 新疆大学电气工程学院,新疆乌鲁木齐830008 |
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| 基金项目： | 模糊控制器优化设计来自国家863项目（2001A512010-1-3） |
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| 摘 要： | 在模糊控制器设计中，模糊规则的确定以及模糊变量隶属函数的选取都是非常重要的，隶属函数的形状、模糊划分的覆盖范围对模糊推理有很大影响，实际设计时隶属函数的确定往往需要反复试凑．文章目的是解决在控制规则已知的情况下语言变量最佳覆盖范围，及隶属函数优化．采用遗传算法对各模糊变量的隶属函数进行二进制编码和优化计算，可以得到隶属函数覆盖范围的最优划分．结果表明这种方法可以求得全局最优。
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| 关 键 词： | 遗传算法 模糊控制 隶属函数 |
| 文章编号： | 1672-3961（2905）05-0045-03 |
| 收稿时间： | 2004-02-26 |
Using genetic algorithm to optimize the membership function of the fuzzy variables while design the fuzzy controllers |
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| ZHANG Xin-yan, WANG Wei-qing.Using genetic algorithm to optimize the membership function of the fuzzy variables while design the fuzzy controllers[J].Journal of Shandong University of Technology,2005,35(5):45-47. |
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| Authors: | ZHANG Xin-yan WANG Wei-qing |
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| Affiliation: | Electrical Engineering College, Xinjiang University, Urtmachi 830008, China |
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| Abstract: | While design the fuzzy controller, it is very important to detemfine the fuzzy rules and to choose the membership function of fuzzy variables . The shape and covering range of a fuzzy divide will affect the fuzzy reasoning significantly. The optimization of the membership function by using genetic algorithm under the con- dition that the fuzzy rules are known is mainly discussed. Change the numerical range of linguistic value by adjusting the parameters of the membership function under the condition that the shape is known. Take the leastsquares of the difference of the reasoning result of the fuzzy controller and the experience resuh of expert as the objective function. |
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| Keywords: | genetic algorithm fuzzy control membership function |
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