ON THE CONTROL OF THE GROWTH OF PROGRAM SIZES IN THE COURSE OF CLASSIFIER EVOLUTION IN IMAGE CLASSIFICATION IN GENETIC PROGRAMMING

摘要

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.