Grammatical Evolution with Code2Vec

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Kowalczykiewicz:2023:EuroGP,

• author = "Michal Kowalczykiewicz and Piotr Lipinski",
• title = "Grammatical Evolution with {Code2Vec}",
• booktitle = "EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming",
• year = "2023",
• month = "12-14 " # apr,
• editor = "Gisele Pappa and Mario Giacobini and Zdenek Vasicek",
• series = "LNCS",
• volume = "13986",
• publisher = "Springer Verlag",
• address = "Brno, Czech Republic",
• pages = "213--224",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, Source Code Vector Embeddings, Code2vec",
• isbn13 = "978-3-031-29572-0",
• URL = "https://rdcu.be/c8U0K",
• DOI = "doi:10.1007/978-3-031-29573-7_14",
• size = "12 pages",
• abstract = "we us the code2vec vector embeddings of the source code to improve automatic source code generation in Grammatical Evolution. Focusing on a particular programming language, such as Java in the research presented, and being able to represent each Java function in the form of a continuous vector in a linear space by the code2vec model, GE gains some additional knowledge on similarities between constructed functions in the linear space instead of semantic similarities, which are harder to process. We propose a few improvements to the regular GE algorithm, including a code2vec-based initialization of the evolutionary algorithm and a code2vec-based crossover operator. Computational experiments confirm the efficiency of the approach proposed on a few typical benchmarks.",
• notes = "Part of \cite{Pappa:2023:GP} EuroGP'2023 held in conjunction with EvoCOP2023, EvoMusArt2023 and EvoApplications2023",

}

Genetic Programming entries for Michal Kowalczykiewicz Piotr Lipinski

Citations