A simple function to create distribution plots of the elite members after the optimization procedure. The distribution is graphically represented using a kernel density estimation. Aditionally, this function also indicates the best and average members.
plotEliteDistrib(elite)
Arguments
elite: A matrix containing parameters of the elite members.
Returns
A graphic representation of the elite members and also of the best and average members.
Author(s)
Alberto Krone-Martins
See Also
ceimOpt
Examples
# Solve a simple 2D problem and show the distribution of the parameterspo <- ceimOpt(OptimFunction=function(x){(x[1]+1)^2+(x[2]+2)^2}, maxIter=100, epsilon=0.1, nParams=2)plotEliteDistrib(po$EliteMembers)rm(po)