optimRS {CEGO}  R Documentation 
Random Search for mixed or combinatorial optimization. Solutions are generated completely at random.
optimRS(x = NULL, fun, control = list())
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:

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
optimCEGO
, optimEA
, optim2Opt
, optimMaxMinDist
seed=0 #distance dF < distancePermutationHamming #creation cF < function()sample(5) #objective function lF < landscapeGeneratorUNI(1:5,dF) #start optimization set.seed(seed) res < optimRS(,lF,list(creationFunction=cF,budget=100, vectorized=TRUE)) ##target function is "vectorized", expects list as input res$xbest