PhenoGP: Combining Programs to Avoid Code Disruption

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@InProceedings{fonlupt:2013:EuroGP,

• author = "Cyril Fonlupt and Denis Robilliard",
• title = "PhenoGP: Combining Programs to Avoid Code Disruption",
• booktitle = "Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013",
• year = "2013",
• month = "3-5 " # apr,
• editor = "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu",
• series = "LNCS",
• volume = "7831",
• publisher = "Springer Verlag",
• address = "Vienna, Austria",
• pages = "49--60",
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-37206-3",
• DOI = "doi:10.1007/978-3-642-37207-0_5",
• abstract = "In conventional Genetic Programming (GP), n programs are simultaneously evaluated and only the best programs will survive from one generation to the next. It is a pity as some programs might contain useful code that might be hidden or not evaluated due to the presence of introns. For example in regression, zero times (perfect code) will unfortunately not be assigned a good fitness and this program might be discarded due to the evolutionary process. In this paper, we develop a new form of GP called PhenoGP (PGP). PGP individuals consist of ordered lists of programs to be executed in which the ultimate goal is to find the best order from simple building-blocks programs. If the fitness remains stalled during the run, new building-blocks programs are generated. PGP seems to compare fairly well with canonical GP.",
• notes = "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013 and EvoApplications2013",

}

Genetic Programming entries for Cyril Fonlupt Denis Robilliard

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