terminateAbsoluteError {xegaPopulation} | R Documentation |
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, $phenotypeValue. |
lF |
Local function configuration. It must contain
|
Details
Useful for benchmark functions with known global optima.
Value
Boolean.
See Also
Other Termination Condition:
terminateGEQ()
,
terminateLEQ()
,
terminatePAC()
,
terminateRelativeError()
,
terminateRelativeErrorZero()
,
terminatedFalse()
Examples
parm<-function(x){function() {return(x)}}
olst<-list(); olst$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)
[Package xegaPopulation version 1.0.0.7 Index]