- author = "Pedro Carvalho and Jessica Megane and Nuno Lourenco and Penousal Machado",
- title = "Context Matters: Adaptive Mutation for Grammars",
- 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 = "117--132",
- organisation = "EvoStar, Species",
- keywords = "genetic algorithms, genetic programming, Adaptive Mutation, Grammar-design, Grammar-based Genetic Programming",
- isbn13 = "978-3-031-29572-0",
-
URL = "
https://rdcu.be/c8URQ",
-
DOI = "
doi:10.1007/978-3-031-29573-7_8",
- size = "16 pages",
- abstract = "Adaptive Facilitated Mutation, a self-adaptive mutation method for Structured Grammatical Evolution (SGE), biologically inspired by the theory of facilitated variation. In SGE, the genotype of individuals contains a list for each non-terminal of the grammar that defines the search space. In our proposed mutation, each individual contains an array with a different, self-adaptive mutation rate for each non-terminal. We also propose Function Grouped Grammars, a grammar design procedure to enhance the benefits of the propose mutation. Experiments were conducted on three symbolic regression benchmarks using Probabilistic Structured Grammatical Evolution (PSGE), a variant of SGE. Results show our approach is similar or better when compared with the standard grammar and mutation.",
-
notes = "Nominated for best paper award
Part of \cite{Pappa:2023:GP} EuroGP'2023 held in conjunction with EvoCOP2023, EvoMusArt2023 and EvoApplications2023",
