terminateAbsoluteError: Terminates, if the absolute deviation from the global optimum...

In xegaPopulation: Genetic Population Level Functions

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

Description

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

Usage

terminateAbsoluteError(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 maximal allowed deviation of the current best solution from the global optimum.

Details

Useful for benchmark functions with known global optima.

Value

Boolean.

See Also

Other Termination Condition: terminateGEQ(), terminateLEQ(), terminatePAC(), terminateRelativeError(), 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
    terminateAbsoluteError(solution, lF)
    solution<-list(); solution$genotype<-list(); solution$genotype$fit<-8.9
    terminateAbsoluteError(solution, lF)

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