Application of hybrid coded genetic algorithm in fuzzy neural network controller

被引:0
|
作者
杨振强
杨智民
王常虹
庄显义
宁慧
机构
关键词
genetic algorithm; fuzzy neural network; cost function; hybrid coding;
D O I
暂无
中图分类号
TP273 [自动控制、自动控制系统];
学科分类号
080201 ; 0835 ;
摘要
Presents the fuzzy neural network optimized by hybrid coded genetic algorithm of decimal encoding and binary encoding, the searching ability and stability of genetic algorithms enhanced by using binary encoding during the crossover operation and decimal encoding during the mutation operation, and the way of accepting new individuals by probability adopted, by which a new individual is accepted and its parent is discarded when its fitness is higher than that of its parent, and a new individual is accepted by probability when its fitness is lower than that of its parent. And concludes with calculations made with an example that these improvements enhance the speed of genetic algorithms to optimize the fuzzy neural network controller.
引用
收藏
页码:65 / 68
页数:4
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