A fast Genetic Fuzzy approach and its application in Classifier Fusion
Ming Liu, Baozong Yuan, Jiangfeng Chen, Zhenjiang Miao · 2006
This paper proposes a new genetic fuzzy approach, in which the traditional method for generating the initial population and the cross operator are improved. Our new method is tested on classifier fusion problem, and the experimental results show it outperform other classifier combination methods in the classification accuracy