xegaGpGene: Genetic Operations for Grammar-Based Genetic Programming

An implementation of the representation-dependent gene level operations of grammar-based genetic programming with genes which are derivation trees of a context-free grammar: Initialization of a gene with a complete random derivation tree, decoding of a derivation tree. Crossover is implemented by exchanging subtrees. Depth-bounds for the minimal and the maximal depth of the roots of the subtrees exchanged by crossover can be set. Mutation is implemented by replacing a subtree by a random subtree. The depth of the random subtree and the insertion node are configurable. For details, see Geyer-Schulz (1997, ISBN:978-3-7908-0830-X).

Version:	1.0.0.0
Imports:	stats, xegaBNF, xegaDerivationTrees, xegaSelectGene
Suggests:	testthat
Published:	2024-02-15
Author:	Andreas Geyer-Schulz [aut, cre]
Maintainer:	Andreas Geyer-Schulz <Andreas.Geyer-Schulz at kit.edu>
License:	MIT + file LICENSE
URL:	<https://github.com/ageyerschulz/xegaGpGene>
NeedsCompilation:	no
Materials:	README
CRAN checks:	xegaGpGene results

Documentation:

Reference manual:

xegaGpGene.pdf

Downloads:

Package source:	xegaGpGene_1.0.0.0.tar.gz
Windows binaries:	r-devel: xegaGpGene_1.0.0.0.zip, r-release: xegaGpGene_1.0.0.0.zip, r-oldrel: xegaGpGene_1.0.0.0.zip
macOS binaries:	r-release (arm64): xegaGpGene_1.0.0.0.tgz, r-oldrel (arm64): xegaGpGene_1.0.0.0.tgz, r-release (x86_64): xegaGpGene_1.0.0.0.tgz, r-oldrel (x86_64): xegaGpGene_1.0.0.0.tgz

Reverse dependencies:

Reverse imports:

xega

Linking:

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