Methods for the edaTerminate generic function.
edaTerminateMaxGen(eda, gen, fEvals, pop, popEval)
edaTerminateMaxEvals(eda, gen, fEvals, pop, popEval)
edaTerminateEval(eda, gen, fEvals, pop, popEval)
edaTerminateEvalStdDev(eda, gen, fEvals, pop, popEval)
edaTerminateCombined(...)Generation.
Evaluations of the objective function.
Matrix with one row for each solution in the population.
Vector with the evaluation of each solution in pop.
Functions that implement termination methods.
A logical value that indicates if the algorithm should stop.
Termination methods decide when to stop the main loop of the EDA. The following termination methods are implemented.
edaTerminateMaxGenStop when a maximum number of generations
has been reached. The parameter maxGen specifies the number of
generations (default value: 100). This is the default
method of the edaTerminate generic function.
edaTerminateMaxEvalsStop when a maximum number of evaluations
of the objective function has been reached. The parameter maxEvals
specifies the number of evaluations (default value: 1000.)
edaTerminateEvalStop when a given value of the objective
function has been reached. The parameters fEval (default value:
0) and fEvalTol (default value: 1e-06) set the value
of the objective function and the tolerance, respectively.
edaTerminateEvalStdDevStop when the standard deviation of
the evaluation of the solutions in the population is less than the value
given by the parameter fEvalStdDev (default value: 1e-02)
edaTerminateCombinedEvaluate all the termination criteria
specified in … and stop if (at least) one of them returns
TRUE.
Gonzalez-Fernandez Y, Soto M (2014). copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas. Journal of Statistical Software, 58(9), 1-34. http://www.jstatsoft.org/v58/i09/.