Genetic Programming for Automatically Evolving Multiple Features to Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Peng_Wang:ECJ,

• author = "Peng Wang2 and Bing Xue and Jing Liang and Mengjie Zhang",
• title = "Genetic Programming for Automatically Evolving Multiple Features to Classification",
• journal = "Evolutionary Computation",
• note = "Just accepted",
• keywords = "genetic algorithms, genetic programming, Classification, Dimensionality reduction",
• ISSN = "1063-6560",
• URL = "https://doi.org/10.1162/evco_a_00359",
• eprint = "https://direct.mit.edu/evco/article-pdf/doi/10.1162/evco_a_00359/2470769/evco_a_00359.pdf",
• DOI = "doi:10.1162/evco_a_00359",
• size = "27 pages",
• abstract = "Performing classification on high-dimensional data poses a significant challenge due to the huge search space. Moreover, complex feature interactions introduce an additional obstacle. The problems can be addressed by using feature selection to select relevant features or feature construction to construct a small set of high-level features. However, performing feature selection or feature construction only might make the feature set suboptimal. To remedy this problem, this study investigates the use of genetic programming for simultaneous feature selection and feature construction in addressing different classification tasks. The proposed approach is tested on 16 datasets and compared with seven methods including both feature selection and feature constructions techniques. The results show that the obtained feature sets with the constructed and/or selected features can significantly increase the classification accuracy and reduce the dimensionality of the datasets. Further analysis reveals the complementarity of the obtained features leading to the promising classification performance of the proposed method.",
• notes = "School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China",

}

Genetic Programming entries for Peng Wang2 Bing Xue Jing Liang Mengjie Zhang

Citations