plotEliteDistrib: Plot the distribution of elite members
In RCEIM: R Cross Entropy Inspired Method for Optimization
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
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.
Usage
1
plotEliteDistrib(elite)
Arguments
elite
A matrix containing parameters of the elite members.
Value
A graphic representation of the elite members and also of the best and average members.
Author(s)
Alberto Krone-Martins
See Also
Examples
1
2
3
4
5
# Solve a simple 2D problem and show the distribution of the parameters
po <- ceimOpt(OptimFunction=function(x){(x[1]+1)^2+(x[2]+2)^2}, maxIter=100,
epsilon=0.1, nParams=2)
plotEliteDistrib(po$EliteMembers)
rm(po)
RCEIM documentation built on May 1, 2019, 10:29 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
A simple function to create distribution plots of the elite members after the optimization procedure. The distribution is graphically represented using a kernel density estimation. Aditionally, this function also indicates the best and average members.
Usage
1 | plotEliteDistrib(elite)
|
Arguments
elite |
A matrix containing parameters of the elite members. |
Value
A graphic representation of the elite members and also of the best and average members.
Author(s)
Alberto Krone-Martins
See Also
Examples
1 2 3 4 5 | # Solve a simple 2D problem and show the distribution of the parameters
po <- ceimOpt(OptimFunction=function(x){(x[1]+1)^2+(x[2]+2)^2}, maxIter=100,
epsilon=0.1, nParams=2)
plotEliteDistrib(po$EliteMembers)
rm(po)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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