- author = "Leon Ingelse and Guilherme Espada and Alcides Fonseca",
- title = "Benchmarking Individual Representation in Grammar-Guided Genetic Programming",
- howpublished = "EasyChair Preprint no. 7821",
- year = "2022",
- month = "20 " # apr,
- keywords = "genetic algorithms, genetic programming, Grammatical Evolution, derivation trees, Grammar-Guided GP",
-
URL = "
https://easychair.org/publications/preprint/wqrb",
- broken = "https://wwwww.easychair.org/publications/preprint_download/wqrb",
-
URL = "https://arxiv.org/abs/2208.00555",
- size = "5 pages",
-
abstract = "Grammar-Guided Genetic Programming (GGGP) has two main
flavors, Context-Free Grammar GP (CFG-GP) and
Grammatical Evolution (GE). GE enjoys multiple
benefits, leading to being the most widely-used
approach. However, GE also suffers from
disadvantages.
we first review the established advantages and disadvantages of both GE and CFG-GP. Then, we identify three new advantages of CFG-GP over GE: direct evaluation, in-node storage, and deduplication. We conclude that there is further need for studying the performance of CFG-GP and GE.",
- notes = "See also 'Evostar 2022 Late breaking abstract' A.M. Mora and A.I. Esparcia-Alcazar (editors) arxiv.org/abs/2208.00555",
