xegaGpInitGene: Generates a gene as a random derivation tree.

In xegaGpGene: Genetic Operations for Grammar-Based Genetic Programming

Generates a gene as a random derivation tree.

Description

For a given grammar, xegaGpInitGene() generates a gene as a random derivation tree with a depth-bound.

Usage

xegaGpInitGene(lF)

Arguments

lF	Local configuration of the genetic algorithm.

Details

In the derivation tree representation of package xegaGpGene, a gene is a list with

1. $gene1: a derivation tree.

2. $fit: The fitness of the genotype of $gene1

3. $evaluated: Boolean: TRUE if the fitness is known.

4. $evalFail: Has the evaluation of the gene failed?

5. $var: The cumulative variance of the fitness of all evaluations of a gene. (For stochastic functions)

6. $sigma: The standard deviation of the fitness of all evaluations of a gene. (For stochastic functions)

7. $obs: The number of evaluations of a gene. (For stochastic functions)

The algorithm for generating a complete derivation tree with a depth-bound is imported from the package xegaDerivationTrees.

Value

Derivation tree.

See Also

Other Gene Generation: xegaGpInitGeneGe()

Examples

gene<-xegaGpInitGene(lFxegaGpGene)
xegaGpDecodeGene(gene, lFxegaGpGene)

xegaGpGene documentation built on June 10, 2025, 9:14 a.m.