| 基于改进遗传算法的隶属度函数优化研究 |
| |
| 引用本文： | 徐爱华.基于改进遗传算法的隶属度函数优化研究[J].电子质量,2004(5):i010-i012. |
| |
| 作者姓名： | 徐爱华 |
| |
| 作者单位： | 武汉理工大学,武汉,430070 |
| |
| 摘 要： | 本文针对传统的隶属函数的不足,提出了在一个待优化模糊控制器的基础上,采用改进的遗传算法优化其隶属函数,从而使隶属函数更加合理.最后对优化后的模糊控制器进行仿真比较研究,结果表明模糊控制器经过优化后控制品质有较大的改善和提高.
|
| 关 键 词： | 改进遗传算法 隶属度函数 仿真 |
Research on Optimization of Fuzzy Control Membership Function Based on Modified Genetic Algorithms |
| |
| Xu Aihua Wuhan University of Technology,Wuhan.Research on Optimization of Fuzzy Control Membership Function Based on Modified Genetic Algorithms[J].Electronics Quality,2004(5):i010-i012. |
| |
| Authors: | Xu Aihua Wuhan University of Technology Wuhan |
| |
| Institution: | Xu Aihua Wuhan University of Technology 430070 Wuhan |
| |
| Abstract: | Aiming at improving the deficiency in traditional fuzzy control membership function, we present a method using MGA to optimize fuzzy control membership function. The optimized fuzzy logic controller has been compared with the traditional one and the results suggest that the control quality of the fuzzy logic controller, of which the fuzzy control membership function has been optimized, is greatly improved. |
| |
| Keywords: | Modified Genetic Algorithms Membership Function Simulation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
