A Study on Genetic Programming with Layered Learning and Incremental Sampling

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Nguyen:2011:ASoGPwLLaIS,

• title = "A Study on Genetic Programming with Layered Learning and Incremental Sampling",
• author = "Thi Hien Nguyen and Xuan Hoai Nguyen and Robert Ian McKay",
• pages = "1184--1190",
• booktitle = "Proceedings of the 2011 IEEE Congress on Evolutionary Computation",
• year = "2011",
• editor = "Alice E. Smith",
• month = "5-8 " # jun,
• address = "New Orleans, USA",
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CEC.2011.5949750",
• 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.",
• notes = "CEC2011 sponsored by the IEEE Computational Intelligence Society, and previously sponsored by the EPS and the IET.",

}

Genetic Programming entries for Nguyen Thi Hien Nguyen Xuan Hoai R I (Bob) McKay

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