optimMaxMinDist {CEGO}  R Documentation 
MaxMinDistance Optimizer
Description
Oneshot optimizer: Create a design with maximum sum of distances, and evaluate. Best candidate is returned.
Usage
optimMaxMinDist(x = NULL, fun, control = list())
Arguments
x 
Optional set of solution(s) as a list, which are added to the randomly generated solutions and are also evaluated with the target function. 
fun 
target function to be minimized 
control 
(list), with the options:

Value
a list:
xbest
best solution found
ybest
fitness of the best solution
x
history of all evaluated solutions
y
corresponding target function values f(x)
count
number of performed target function evaluations
See Also
optimCEGO
, optimEA
, optimRS
, optim2Opt
Examples
seed=0
#distance
dF < distancePermutationHamming
#creation
cF < function()sample(5)
#objective function
lF < landscapeGeneratorUNI(1:5,dF)
#start optimization
set.seed(seed)
res < optimMaxMinDist(,lF,list(creationFunction=cF,budget=20,
vectorized=TRUE)) ##target function is "vectorized", expects list as input
res$xbest