Effect of Parent Selection Methods on Modularity

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Saini:2020:EuroGP,

• author = "Anil Saini and Lee Spector",
• title = "Effect of Parent Selection Methods on Modularity",
• booktitle = "EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming",
• year = "2020",
• month = "15-17 " # apr,
• editor = "Ting Hu and Nuno Lourenco and Eric Medvet",
• series = "LNCS",
• volume = "12101",
• publisher = "Springer Verlag",
• address = "Seville, Spain",
• pages = "184--194",
• organisation = "EvoStar, Species",
• note = "Best paper",
• keywords = "genetic algorithms, genetic programming, Parent selection algorithms, Reuse metric, Lexicase selection",
• isbn13 = "978-3-030-44093-0",
• video_url = "https://www.youtube.com/watch?v=qYmPiSicQ1Y",
• DOI = "doi:10.1007/978-3-030-44094-7_12",
• abstract = "The effects of various genetic operators and parent selection algorithms on the performance of a genetic programming system on different problems have been well studied. In this paper, we analyze how different selection algorithms influence modularity in the population of evolving programs. In particular, we observe how the number of individuals with some form of modular structure, i.e., the presence of code blocks executed multiple times, changes over generations for various selection algorithms.",
• notes = "http://www.evostar.org/2020/cfp_eurogp.php Part of \cite{Hu:2020:GP} EuroGP'2020 held in conjunction with EvoCOP2020, EvoMusArt2020 and EvoApplications2020",

}

Genetic Programming entries for Anil Kumar Saini Lee Spector

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