Subtree Deactivation Control with Grammatical Genetic Programming in Dynamic Environments

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{O'Neill2:2008:cec,

• author = "Michael O'Neill and Anthony Brabazon and Erik Hemberg",
• title = "Subtree Deactivation Control with Grammatical Genetic Programming in Dynamic Environments",
• booktitle = "2008 IEEE World Congress on Computational Intelligence",
• year = "2008",
• editor = "Jun Wang",
• pages = "3768--3774",
• address = "Hong Kong",
• month = "1-6 " # jun,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-1823-7",
• file = "EC0798.pdf",
• DOI = "doi:10.1109/CEC.2008.4631308",
• abstract = "We investigate the usefulness of a sub-tree deactivation control mechanism which is open to evolutionary learning. It is hypothesised that this representation confers an adaptive advantage in dynamic environments over the standard subtree representation adopted in Genetic Programming. Results presented on benchmark dynamic problem instances provides evidence to support that such an adaptive advantage exists.",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",

}

Genetic Programming entries for Michael O'Neill Anthony Brabazon Erik Hemberg

Citations