Support Vector Regression and Ant Colony Optimization for Grid Resources Prediction

@inproceedings{Hu2010SupportVR,
  title={Support Vector Regression and Ant Colony Optimization for Grid Resources Prediction},
  author={Guosheng Hu and Liang Hu and Jing Song and Pengchao Li and Xilong Che and Hongwei Li},
  booktitle={ISNN},
  year={2010}
}
Accurate grid resources prediction is crucial for a grid scheduler. In this study, support vector regression (SVR), which is an effective regression algorithm, is applied to grid resources prediction. In order to build an effective SVR model, SVR’s parameters must be selected carefully. Therefore, we develop an ant colony optimization-based SVR (ACO-SVR) model that can automatically determine the optimal parameters of SVR with higher predictive accuracy and generalization ability simultaneously… CONTINUE READING