- author = "Ya-Min Li and Jin-Ru Ma and Li-Juan Cui and Qiu-Xia Zhao",
- title = "On the control of the growth of program sizes in the course of classifier evolution in image classification in genetic programming",
- booktitle = "International Conference on Machine Learning and Cybernetics",
- year = "2008",
- month = jul,
- volume = "2",
- pages = "976--980",
- keywords = "genetic algorithms, genetic programming, classifier evolution, image classification, program size growth control, image classification",
-
DOI = "
doi:10.1109/ICMLC.2008.4620546",
- abstract = "The main indicators of the performance of an image classifier include classification accuracy, classification efficiency and evolution efficiency, whereas the sizes of the programs involved in genetic programming stand as one of the major factors that influence the performance of the classifier. Some effective means are introduced in this paper for the control of program sizes, which is done through scientific construction of fitness functions of the classifier in image classification in genetic programming. Tests showed that, the growth of program sizes were effectively put under control during the course of evolution, which, in turn, greatly improved the general performance of the image classifier in genetic programming.",
-
notes = "Artificial Intelligence Research Center, Agricultural
University of Hebei, Baoding 071001, China
Also known as \cite{4620546}",
