Kernel Method Based Human Model for Enhancing Interactive Evolutionary Optimization

Figure 2

Human model by a binary classifier in our experiments. These two categories cannot be separated linearly in original space; however, after projecting these data into a higher dimensional feature space, they can be separated by a binary classifier. The linearity characteristic shows the advantage of proposed human model.