Introducing vectorized cluster crossover in Grammatical Evolution

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

@InProceedings{kowalczykiewicz:2024:GECCOcomp,

• author = "Michal Kowalczykiewicz and Piotr Lipinski",
• title = "Introducing vectorized cluster crossover in Grammatical Evolution",
• booktitle = "Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion",
• year = "2024",
• editor = "Ting Hu and Aniko Ekart",
• pages = "507--510",
• address = "Melbourne, Australia",
• series = "GECCO '24",
• month = "14-18 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, source code vector embeddings, latent vector representations, code2vec: Poster",
• isbn13 = "979-8-4007-0495-6",
• DOI = "doi:10.1145/3638530.3654359",
• size = "4 pages",
• abstract = "This paper concerns machine learning approaches for software engineering, in particular for discovering hidden knowledge from data by learning latent vector representations of source code, and incorporating it to evolutionary algorithms evolving computer programs by improving their crossover operators. It focuses on Grammatical Evolution, as an example of an evolutionary algorithm aiming at constructing a computer program, and code2vec, as a technique of discovering an efficient latent vector code representation. We propose a code2vec-based crossover operator that outperformed the regular one in computational experiments with a number of benchmark computer programs.",
• notes = "GECCO-2024 GP A Recombination of the 33rd International Conference on Genetic Algorithms (ICGA) and the 29th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Michal Kowalczykiewicz Piotr Lipinski

Citations