Displaying 20 results from an estimated 39 matches for "genoud".
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2007 Nov 22
2
manual parallel processing
Hi;
I have a R script that includes a call to genoud(); genoud process lasts
about 4 seconds, what would be OK if I hadn't have to call it about 2000
times. This yields about 2 hours of processing.
And I would like to use this script operationally; so that it should be
run twice a day. It seems to me that the parallel processing option
included i...
2008 Oct 08
0
genoud nonlinear least squares optimisation
Hello,
I am trying to optimise a nonlinear model to derive 'best-fit' parameter
esimates using the genoud function. I have been using the genetic algorithm
- gafit - in order to do this, but I am getting parameter estimates that do
not always reach the global minimum. I am very keen to apply genoud to
optimising this model to see if my results will improve, and also out of
personal interest. However th...
2007 Sep 01
1
genoud problem
Hi R users,
"genoud" function of "rgenoud" package will optimize my function. If
opt = genoud(fn,2,max=TRUE,starting.value=c(1,10),........)
opt$value will give the optimized value of the function, "fn". My
problem is from the same opt, can I get the value of the function at the
initi...
2011 Jan 13
1
setting up a genoud run
Hello - and sorry for a possibly stupid question, I'm just starting to
learn rgenoud.
I am defining a function with 5 parameters (p1, p2, p3, p4a, and p4b)
and then want to optimize it using genoud. But I am doing something
wrong.
Before genoud is even able to run it says: "Error in p2 + 1.2 : 'p2'
is missing".
I assume I did not specify it right. My code is belo...
2005 Mar 02
1
Rounding parameter values in genoud(), Rgenoud package
I would like to limit the significant figures of the calibrated
parameters determined by genoud() in the Rgenoud package. Below is some
example output, where column 1 is model run number, columns 2-7 are the
parameter values, and columns 8-12 are model fit statistics. I would
like genoud to internally limit parameters to 4 decimal places as shown
in this output. It is clear that the functi...
2010 Feb 04
1
Minimizing two non-linear functions with genoud - Trying to minimize or converge near zero
Hello R users,
I am trying to minimize two functions with genoud. It is actually one function with two sets of data, each of them having two unknown variables (called Vcmax and gi) which have the same value in each of the function. They are called f.1 and f.2 in the code below.
My objective to minimize the functions in order to get the two variables equal in ea...
2008 May 14
0
Parallel computing with rgenoud and snow: external file I/O possible?
I am trying to use rgenoud and snow with an external model and file I/O.
Unlike the typical application of rgenoud and snow, I need to run an
external executable and do pre- and post-processing of input and output
files for each parameter set generated by genoud(). I'm hoping that
someone can suggest improvements to my...
2007 Aug 16
0
Help with optimization using GENOUD
Dear Friends,
I have been trying to learn how to use the derivative free optimization algorithms implemented in the package RGENOUD by Mebane and Sekhon. However, it does not seem to work for reasons best described as my total ignorance. If anybody has experience using this package, it would be really helpful if you can point out where I'm making a mistake.
Thanks in advance
Anup
Sample code attached
library(rgenoud)...
2007 May 09
3
Increasing precision of rgenoud solutions
Dear All
I am using rgenoud to solve the following maximization problem:
myfunc <- function(x) {
x1 <- x[1]
x2 <- x[2]
if (x1^2+x2^2 > 1)
return(-9999999)
else x1+x2
}
genoud(myfunc, nvars=2,
Domains=rbind(c(0,1),c(0,1)),max=TRUE,boundary.enforcement=2,solution.tolerance=0.000001)
How can one increa...
2010 Oct 13
2
How to fix error in the package 'rgenoud'
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.generations=3)
Then, I had the following error message.
E...
2006 Feb 14
1
Parallel computing in R for dummies--how to optimize an external model?
I am trying to use the optimizing function genoud() with the snow
package on a couple of i686 machines running Redhat Linux WS4 . I don't
know anything about PVM or MPI, so I just followed the directions in
snow and rgenoud for the simplest method and started a socket cluster.
My function fn for genoud involves updating an input file for a se...
2006 Apr 20
1
Parallel computing with the snow package: external file I/O possible?
Hello,
After getting help to solve part of my problem and some delay on my
part, I am posting a more refined version to see if someone can help me
further. I am trying to autocalibrate a model in my subject area using
the snow and rgenoud packages. I want to use the key function "fn" that
is called by genoud() to finalize input, run the model executable, and
compute the objective function on the model output. My problem is that
only in the master node do all of these steps happen. In the slave node
of a cluster of two,...
2012 Nov 26
1
Help on function please
...soda(((Dose/Tinf)*(1/(kel*Vd)))*(1-exp(-kel*time)),c(0,time),defun,parms=c(kel=kel,Vd=Vd),rtol=1e-3,atol=1e-5)
out[-1,2]
}
objfun <- function(par) {
out <- modfun(PKindex$time, par[1], par[2])
gift <- which( PKindex$conc != 0 )
sum((PKindex$conc[gift]-out[gift])^2)
}
gen<-genoud(objfun,nvars=2,max=FALSE,pop.size=30,max.generations=100,wait.generations=100,starting.value=c(0.7,60),BFGS=FALSE,print.level=0,boundary.enforcement=2,Domains=matrix(c(0.01,0.01,100,100),2,2),MemoryMatrix=TRUE)
but get the following:
Error in lsoda(((Dose/Tinf) * (1/(kel * Vd))) * (1 - exp(-kel...
2004 Oct 08
0
updated package boolean 1.5
...procedure becomes exponentially more data-intensive as the number of
latent dependent variables increases.
The update to version 1.04 was not announced; only minor modifications
were made to ensure compatibility with R 1.9.
The update to version 1.05 permits the use of Sekhon and Mebane's
GENOUD optimizer for likelihood surfaces that are convoluted and
therefore contain multiple local maxima. Because this procedure can
produce such surfaces quite easily, the use of GENOUD is recommended.
Bear F. Braumoeller
Associate Professor
Department of Government
Harvard University
http://www.peo...
2004 Oct 08
0
updated package boolean 1.5
...procedure becomes exponentially more data-intensive as the number of
latent dependent variables increases.
The update to version 1.04 was not announced; only minor modifications
were made to ensure compatibility with R 1.9.
The update to version 1.05 permits the use of Sekhon and Mebane's
GENOUD optimizer for likelihood surfaces that are convoluted and
therefore contain multiple local maxima. Because this procedure can
produce such surfaces quite easily, the use of GENOUD is recommended.
Bear F. Braumoeller
Associate Professor
Department of Government
Harvard University
http://www.peo...
2005 May 03
0
R on Mac OS X: odd errors when doing install.packages()
...arently nothing is broken. The errors I repeatedly get are like this:
g++ -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/include -I/usr/
local/include -DUNIX -DOPTIM -DNONR -fno-common -g -O2 -c unif.cpp -o unif.o
g++ -bundle -flat_namespace -undefined suppress -L/usr/local/lib -o rgenoud.so c
hange_order.o eval.o evaluate.o frange_ran.o genoud.o gradient.o math.o multiply
.o numerics.o operators.o print_format.o rgenoud.o unif.o -lcc_dynamic -framewo
rk R
ld: warning multiple definitions of symbol _xerbla_
/Library/Frameworks/R.framework/R(print.lo) definition of _xerbla_
/System/...
2005 Jun 01
1
using user-supplied derivatives in rgenoud
I have been using the rgenoud package for a nonlinear least-squares
problem with lots of local minima, and it works very well but takes lots
of time. According to the article refrenced in the documentation, the
original GENOUD-software by the same authors seems to allow for
user-supplied analytical derivatives instead of numeri...
2007 Jul 13
1
Correlation matrix
I have a model with 5 parameters that I am optimising where the (best)
value of the objective function is negative. I would like to use the
Hessian matrix (from genoud and/or optim functions) to construct the
covariance and correlation matrices.
This is the code that I am using:
est <- out$par # Parameter estimates
H <- out$hessian # Hessian
V <- solve(H) # Covariance matrix
s <- sqrt(abs(...
2010 Apr 18
2
Problem with RGenoud
I've been using RGenoud for a while and it worked smoothly so far. However I
came across a strange problem lately (for me at least...).
It fails after the first individual and I get the following error message
when I set MemoryMatrix = FALSE :
Error in genoud(fn, nvars = 8, max = TRUE, pop.size = 10, :
REAL() can on...
2011 Oct 25
1
Maximization
hi people,
I'm trying to maximize this function:
fn= function (x) {x[1]^2+5*x[2]^2}
with this restriction
fn1 = function (x) {x[1]+x[2] <=5}
Can someone help me how to procedure this?
I tried in the alabama and genoud package but i have problems with the
setting of constrains.
Regards,
Eliano
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