Improving Genetic Programming with Novel Exploration - Exploitation Control

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

@InProceedings{Kelly:2019:EuroGP,

• author = "Jonathan Kelly and Erik Hemberg and Una-May O'Reilly",
• title = "Improving Genetic Programming with Novel Exploration - Exploitation Control",
• booktitle = "EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming",
• year = "2019",
• month = "24-26 " # apr,
• editor = "Lukas Sekanina and Ting Hu and Nuno Lourenco",
• series = "LNCS",
• volume = "11451",
• publisher = "Springer Verlag",
• address = "Leipzig, Germany",
• pages = "64--80",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, PushGP, PonyGE2, Program synthesis, Novelty, Diversity",
• isbn13 = "978-3-030-16669-4",
• URL = "https://alfagroup.csail.mit.edu/sites/default/files/documents/program_synthesis_novelty.pdf",
• URL = "https://www.springer.com/us/book/9783030166694",
• DOI = "doi:10.1007/978-3-030-16670-0_5",
• size = "16 pages",
• abstract = "Low population diversity is recognized as a factor in premature convergence of evolutionary algorithms. We investigate program synthesis performance via grammatical evolution. We focus on novelty search, substituting the conventional search objective, based on synthesis quality, with a novelty objective. This prompts us to introduce a new selection method named knobelty. It parametrically balances exploration and exploitation by creating a mixed population of parents. One subset is chosen based on performance quality and the other subset is chosen based on diversity. Three versions of this method, two that adaptively tune balance during evolution solve program synthesis problems more accurately, faster and with less duplication than grammatical evolution with lexicase selection",
• notes = "http://www.evostar.org/2019/cfp_eurogp.php#abstracts Part of \cite{Sekanina:2019:GP} EuroGP'2019 held in conjunction with EvoCOP2019, EvoMusArt2019 and EvoApplications2019",

}

Genetic Programming entries for Jonathan Kelly Erik Hemberg Una-May O'Reilly

Citations