xegaRepEvalPopulation: Evaluates a population of genes in a a problem environment...

In xegaPopulation: Genetic Population Level Functions

Evaluates a population of genes in a a problem environment repeatedly.

Description

xegaRepEvalPopulation() evaluates a population of genes in a problem environment lF$rep times. The results of repeatedly evaluating a gene are aggregated:

• gene$fit is the mean fitness,

• gene$var is the fitness variance,

• gene$std is the standard deviation of the fitness, and

• gene$obs is the number of repetitions.

Usage

xegaRepEvalPopulation(pop, lF)

Arguments

pop	Population of genes.
lF	Local function configuration.

Details

Parallelization of the evaluation of fitness functions is possible by defining lF$lapply.

xegaRepEvalPopulation is still experimental. Known problems:

• The apply loop must be order stable. This does not work e.g. for all local area network distribution versions.

• Populations of function closures can not be evaluated.

Value

List of

• $pop gene vector,

• $fit fitness vector,

• $evalFail number of failed evaluations.

See Also

Other Population Layer: xegaBestGeneInPopulation(), xegaBestInPopulation(), xegaEvalPopulation(), xegaInitPopulation(), xegaLogEvalsPopulation(), xegaNextPopulation(), xegaObservePopulation(), xegaSummaryPopulation()

Examples

    parm<-function(x){function() {return(x)}}
pop10<-xegaInitPopulation(10, lFxegaGaGene)
lFxegaGaGene[["lapply"]]<-ApplyFactory(method="Sequential") 
lFxegaGaGene[["rep"]]<-parm(3) 
result<-xegaRepEvalPopulation(pop10, lFxegaGaGene)

xegaPopulation documentation built on Aug. 22, 2025, 5:14 p.m.