EvalGeneDet: Evaluates a gene in a deterministic problem environment.

In xegaSelectGene: Selection of Genes and Gene Representation Independent Functions

Evaluates a gene in a deterministic problem environment.

Description

EvalGeneDet() evaluates a gene in a problem environment if it has not been evaluated yet. The repeated evaluations of a gene are omitted.

Usage

EvalGeneDet(gene, lF)

Arguments

gene	A gene.
lF	The local configuration of the genetic algorithm.

Details

If the evaluation of the fitness function of the problem environment fails, we catch the error and return NA.

Value

A gene (with $evaluated==TRUE).

See Also

Other Evaluation Functions: EvalGene(), EvalGeneR(), EvalGeneStoch(), EvalGeneU()

Examples

Parabola2D<-Parabola2DFactory()
lF<-NewlFevalGenes(Parabola2D)
g1<-list(evaluated=FALSE, fit=0, gene1=c(1.0, -1.5))
g2<-list(evaluated=FALSE, fit=0, gene1=c(0.0, 0.0))
g1a<-EvalGeneDet(g1, lF)
EvalGeneDet(g1a, lF)
g2a<-EvalGeneDet(g2, lF)
EvalGeneDet(g2a, lF)

xegaSelectGene documentation built on April 16, 2025, 5:12 p.m.