The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution

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

@InProceedings{azad:2014:EuroGP,

• author = "R. Muhammad Atif Azad and Conor Ryan",
• title = "The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution",
• booktitle = "17th European Conference on Genetic Programming",
• year = "2014",
• editor = "Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. {Rivas Santos} and Kevin Sim",
• series = "LNCS",
• volume = "8599",
• publisher = "Springer",
• pages = "186--197",
• address = "Granada, Spain",
• month = "23-25 " # apr,
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution :poster",
• isbn13 = "978-3-662-44302-6",
• DOI = "doi:10.1007/978-3-662-44303-3_16",
• abstract = "This paper evaluates the performance of various methods to constant creation in Grammatical Evolution (GE), and validates the results against those from Genetic Programming (GP). Constant creation in GE is an important issue due to the disruptive nature of ripple crossover, which can radically remap multiple terminals in an individual, and we investigate if more compact methods, which are more similar to the GP style of constant creation (Ephemeral Random Constants (ERCs), perform better. The results are surprising. The GE methods all perform significantly better than GP on unseen test data, and we demonstrate that the standard GE approach of digit concatenation does not produce individuals that are any larger than those from methods which are designed to use less genetic material.",
• notes = "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014 and EvoApplications2014",

}

Genetic Programming entries for R Muhammad Atif Azad Conor Ryan

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