Enhanced Symbolic Regression Through Local Variable Transformations

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

@InProceedings{kubalik2017enhanced,

• author = "Jiri Kubalik and Erik Derner and Robert Babuska",
• title = "Enhanced Symbolic Regression Through Local Variable Transformations",
• booktitle = "Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI",
• year = "2017",
• editor = "Christophe Sabourin and Juan Julian Merelo and Una-May O'Reilly and Kurosh Madani and Kevin Warwick",
• pages = "91--100",
• address = "Funchal, Madeira, Portugal",
• month = "1-3 " # nov,
• publisher = "SciTePress",
• keywords = "genetic algorithms, genetic programming, Symbolic Regression, Single Node Genetic Programming, Nonlinear Regression, Data-driven Modeling",
• isbn13 = "978-989-758-274-5",
• DOI = "doi:10.5220/0006505200910100",
• size = "10 pages",
• abstract = "Genetic programming (GP) is a technique widely used in a range of symbolic regression problems, in particular when there is no prior knowledge about the symbolic function sought. we present a GP extension introducing a new concept of local transformed variables, based on a locally applied affine transformation of the original variables. This approach facilitates finding accurate parsimonious models. We have evaluated the proposed extension in the context of the Single Node Genetic Programming (SNGP) algorithm on synthetic as well as real-problem datasets. The results confirm our hypothesis that the transformed variables significantly improve the performance of the standard SNGP algorithm.",
• notes = "'Single Node Genetic Programming is a graph-basedGP technique that evolves a population organized asan ordered linear array of individuals'...'the whole population represents a graph structure similar to CGP with multiple expressions rooted in individual nodes' like \cite{jackson:2012:EuroGP} \cite{conf/ppsn/Jackson12}. Hill climbing via successor mutation (smut) http://www.ijcci.org/",

}

Genetic Programming entries for Jiri Kubalik Erik Derner Robert Babuska

Citations