Symbolic Regression by Grammar-based Multi-Gene Genetic Programming

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

@InProceedings{Zegklitz:2015:GECCOcomp,

• author = "Jan Zegklitz and Petr Posik",
• title = "Symbolic Regression by Grammar-based Multi-Gene Genetic Programming",
• booktitle = "GECCO'15 Student Workshop",
• year = "2015",
• editor = "Tea Tusar and Boris Naujoks",
• isbn13 = "978-1-4503-3488-4",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• pages = "1217--1220",
• month = "11-15 " # jul,
• organisation = "SIGEVO",
• address = "Madrid, Spain",
• URL = "http://doi.acm.org/10.1145/2739482.2768484",
• DOI = "doi:10.1145/2739482.2768484",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• abstract = "Grammatical Evolution is an algorithm of Genetic Programming but it is capable of evolving programs in an arbitrary language given by a user-provided context-free grammar. We present a way how to apply Multi-Gene idea, known from Multi-Gene Genetic Programming, to Grammatical Evolution, just by modifying the given grammar. We also describe modifications which improve the behaviour of such algorithm, called Multi-Gene Grammatical Evolution. We compare the resulting system to GPTIPS, an existing implementation of MGGP.",
• notes = "Also known as \cite{2768484} Distributed at GECCO-2015.",

}

Genetic Programming entries for Jan Zegklitz Petr Posik

Citations