Benchmarking Representations of Individuals in Grammar-Guided Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8679

@InProceedings{Ingelse:2022:evostarLBA,

• author = "Leon Ingelse and Guilherme Espada and Alcides Fonseca",
• title = "Benchmarking Representations of Individuals in Grammar-Guided Genetic Programming",
• booktitle = "Evostar 2022 Late breaking abstracts",
• year = "2022",
• editor = "Antonio M. Mora and Anna I. Esparcia-Alcazar",
• pages = "5--9",
• address = "Madrid",
• month = "20-22 " # apr,
• organisation = "Species",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, Grammar-Guided GP, CFG-GP, Derivation Trees",
• URL = "https://arxiv.org/abs/arXiv:2208.00555",
• size = "4 pages",
• abstract = "Grammar-Guided Genetic Programming (GGGP) has two popular flavours, Context-Free Grammar GP (CFG-GP) and Grammatical Evolution (GE). we first review the advantages and disadvantages of both GE and CFG-GP established in the literature. Then, we identify three new advantages of CFG-GP over GE: direct evaluation, in-node storage, and deduplication. We conclude with the need to further evaluate the comparative performance of CFG-GP and GE.",

}

Genetic Programming entries for Leon Ingelse Guilherme Jorge Nunes Monteiro Espada Alcides Fonseca

Citations