I could solve this problem by setting the boundary options as follows.
par1Bnd<-c(0.001,0.999)
par2Bnd<-c(-10,10)
DomainMat<-matrix(c(par1Bnd,par2Bnd), nrow = 2, ncol=2, byrow=TRUE)
result<-genoud(Qmin, nvars=2, starting.values=c(0.5,0),
Domains=DomainMat, control=list(ndeps=c(1e-7,1e-2)), boundar
I have to make correction in my error message which I introduced in my
original message. Sorry for my mistake.
Finally, I had the following error message after running the function
'genoud'.
Error in optim(foo.vals, fn = fn1, gr = gr1, method = optim.method, control
= control) :
non-finite fi
I have to make correction in my error message which I introduced in my
original message. Sorry for my mistake.
Finally, I had the following error message after running the function '
genoud'.
Error in optim(foo.vals, fn = fn1, gr = gr1, method = optim.method, control
= control) :
non-finite fin
Dear R user fellows,
I would like to ask you about the package 'rgenoud' which is a genetic
optimization tool.
I ran the function 'genoud' with two variables to be minimized by the
following command.
result<-genoud(fn,nvars=2,starting.values=c(0.5,0),
pop.size=1000, max.generations=10, wait.ge
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