terminateRelativeError: Terminates, if the relative deviation from the global optimum...

In xegaPopulation: Genetic Population Level Functions

Terminates, if the relative deviation from the global optimum is small.

Description

terminateRelativeError() returns TRUE if the value of the current solution is in the interval from (globalOptimum - (globalOptimum*eps)) to (globalOptimum + (globalOptimum*eps)).

Usage

terminateRelativeError(solution, lF)

Arguments

solution	A named list with at least the following elements: $name, $fitness, $value, $numberOfSolutions, $genotype, $phenotype, $phenotypeValue.
lF	Local function configuration. It must contain lF$penv$globalOptimum() which returns the global optimum. lF$TerminationEps() which specifies the the fraction of the global optimum used for computing the upper and lower bounds for the interval in which the best current solution must be for terminating the algorithm.

Details

Useful for benchmark functions with known global optima. Note that for a global optimum of 0 this function fails.

Value

Boolean.

See Also

Other Termination Condition: terminateAbsoluteError(), terminateGEQ(), terminateLEQ(), terminatePAC(), terminateRelativeErrorZero(), terminatedFalse()

Examples

    parm<-function(x){function() {return(x)}}
    olst<-list(); olst$value<-10
    penv<-list(); penv$globalOptimum<-parm(olst)
    lF<-list(); lF$penv<-penv; lF$TerminationEps<-parm(1.2);lF$Max<-parm(1.0)
    solution<-list(); solution$genotype<-list();  solution$genotype$fit<-8.0
    terminateRelativeError(solution, lF)
    solution<-list(); solution$genotype<-list();  solution$genotype$fit<-9.6
    terminateRelativeError(solution, lF)

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