Hien, N.T. and Hoai, N.X. and McKay, B. (2011) A study on Genetic Programming with layered learning and incremental sampling. In: 2011 IEEE Congress of Evolutionary Computation, CEC 2011, 5 June 2011 through 8 June 2011, New Orleans, LA.
A study on Genetic Programming with layered learning and incremental sampling.pdf
Download (244kB) | Preview
Abstract
In this paper, we investigate the impact of a layered learning approach with incremental sampling on Genetic Programming (GP). The new system, called GPLL, is tested and compared with standard GP on twelve symbolic regression problems. While GPLL does not differ from standard GP on univariate target functions, it has better training efficiency on problems with bivariate targets. This indicates the potential usefulness of layered learning with incremental sampling in improving the efficiency of GP evolutionary learning. © 2011 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/CEC.2011.5949750 |
| Uncontrolled Keywords: | Bivariate; Evolutionary Learning; Layered learning; Symbolic regression problems; Target functions; Training efficiency; Univariate; Genetic programming |
| Additional Information: | Conference code: 86068. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/10148 |
Actions (login required)
- View Item