similar to: New code -- genetic algorithm curve fitting (supports complex numbers)

Hi, I am doing some research on feature selection for classfication problem using genetic algorithm in a wrapper approach. I am wondering if there is some package which is already built for this purpose. I was advised before about dprep package but I don't think it used GA there (if I am wrong, please correct me!) Thanks, Ed

Hi, I'm looking for a R-package that does feature selection for PLS using a genetic optimization algorithm. I couldn't find one on CRAN and I wonder whether there is a free one. I would be very appreciative for any help. Regards Rolf

Hi Everyone, I need to use genetic algorithm to find the minimum. The problem is, I cannot define the fitness function, but I can build a neural network from the input data and use the output as a fitness function. Can this be done? The other problem is, I know there are a few package in R related to GA. So far I know all of them take a specific function as fitness function, is

Hi, we have some code that does variable selection with a genetic algorithm or simulated annealing, using a linear regression routine or neural network as the objective function. This code is a mixture of fortran and C. The code is more than 15 years old and I am planning to rework it. Though a C rewrite would be good for efficiency, I would like to protoype it quickly in R and see how it

Hello all, I am trying to implement a simple Genetic Algorithm. I am doing this in R since I want access to the statistical functions (eg lm) it provides. I'm not new to programming, or GAs, but I am totally new to R (the package and the language), and I am hoping someone could help with these questions: 1. I am going to use a binary representation, it seems that vectors of Factors would

Dear List, I'm using glmulti for model averaging in R. There are ~10 variables in my model, making exhaustive screening impractical - I therefore need to use the genetic algorithm (GA) (call: method = "g"). I need to include random effects so I'm using glmulti as a wrapper for lme4. Methods for doing this are available here

----- Forwarded message from Telford Tendys <telford@triode.net.au> ----- Delivery-Date: Thu Jan 25 22:22:57 2001 Date: Fri, 26 Jan 2001 16:26:27 +1100 From: Telford Tendys <telford@triode.net.au> To: feedback@vorbis.com Subject: Comments on your code User-Agent: Mutt/1.2.5i Dear Vorbis, I didn't even know about ogg or vorbis until I was at a conference and someone said, ``if

Hello, I'm new to R, I have two questions: Is there some implementation og Genetic Algorithms in R? Is there a pre-dvi'd manual of R? thanks. E. Crespi. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

mcga 1.1 (machine coded genetic algorithms) package implements a genetic algorithm optimisation tool with machine coded chromosomes. The machine coded chromosomes stand for chromosomes that are not decoded and encoded. The byte representation of 'double' type variables are crossed-over and mutated. This is different from the binary coded and real coded genetic algorithms. Linux and

mcga 1.1 (machine coded genetic algorithms) package implements a genetic algorithm optimisation tool with machine coded chromosomes. The machine coded chromosomes stand for chromosomes that are not decoded and encoded. The byte representation of 'double' type variables are crossed-over and mutated. This is different from the binary coded and real coded genetic algorithms. Linux and

Dear all, at the following address http://linaria.dst.unive.it/~claudio/R/Rmaterial.html#ga you can download a package to build simple genetic algorithms. I wrote this package to introduce genetic algorithms to student in labs, which means, the package emphasize "how a ga works" instead of "how fast it could be". Please, let me know any comments or suggestions, Bests,

Good evening list, I'm looking for an R implementation of the "Shuffled Complex Evolution??? (SCE-UA) algorithm after Duan et al. (1993). Does anybody know if there is an extension/ package existing that contains it? Thanks very much for your help! Cheers, Simon Duan QY, Gupta KV, Sorooshian S (1993) Shuffled Complex Evolution Approach for Effective and Efficient Global Minimization. In

Hi all. I would like to use the rbga.bin function (from the "genalg" package) as part of a model selection process to whittle down a list of ~40 potential explanatory variables to only the most important ones. Unfortunately, despite my working knowledge of R for linear modeling and basic statistics, I cannot understand the two examples provided with the documentation for rbga.bin

I'd like to announce the availability of the "tsne" package. It provides the T distributed Stocastic Neighbor Embedding algorithm by van der Maaten and Hinton: 1. http://ict.ewi.tudelft.nl/~lvandermaaten/t-SNE.html 2. L.J.P. van der Maaten and G.E. Hinton. Visualizing High-Dimensional Data Using t-SNE. Journal of Machine Learning Research 9(Nov):2579-2605, 2008. [

I'd like to announce the availability of the "tsne" package. It provides the T distributed Stocastic Neighbor Embedding algorithm by van der Maaten and Hinton: 1. http://ict.ewi.tudelft.nl/~lvandermaaten/t-SNE.html 2. L.J.P. van der Maaten and G.E. Hinton. Visualizing High-Dimensional Data Using t-SNE. Journal of Machine Learning Research 9(Nov):2579-2605, 2008. [

Hi all, This is really a stats question as much as an R question. I'm trying to do a joint scaling test (JST - see below) on some very oddly-distributed data and was wondering if anyone can suggest a good way of dealing with model violations and/or using R to evaluate how sensitive the model is to violations of the normality assumption. Here's a quick explanation of the analysis, the

Dear R Users, I am a novice learner of R software. I am working with Genetic Matching - GenMatch(), but I am getting an Error message as follows:  Error in GenMatch(Tr = Tr, X = X.binarynp, BalanceMatrix = BalanceMatrix.binarynp,  :    GenMatch(): input includes NAs Could you please suggest me correcting the above problem? My GenMatch command is, > gen1 <- GenMatch(Tr = Tr, X =

Does anyone use the R library GenABEL? I am using it to calculate SNP interactions. I have a list of 100 SNPs, I need to look at the interaction between each of two SNPs among the list. my question is how to perform this in GenABEL. I want to use the "lm" function, but don't know how to use the SNP information. for example: result <- (lm(y~SNP1+SNP2+SNP1*SNP2)) the problem here

>From: "john hickey" <jmwhickey@hotmail.com> >To: fries@fcav.unesp.br >Subject: R genetic parameters >Date: Tue, 20 Jun 2006 11:20:45 +0000 >X-OriginalArrivalTime: 20 Jun 2006 11:20:48.0892 (UTC) >FILETIME=[94F903C0:01C6945B] >X-Virus-Scanned: by amavisd-new at fcav.unesp.br > > >Luiz, > >How large a genetic analysis will you be able to do in R,

Hello dear R help group, Can any one suggest me of a way of making this: http://portal.techhigh.us/Teachers/lauritsenk/PublishingImages/genetic%20code.jpg Using R ? Thanks! Tal <http://portal.techhigh.us/Teachers/lauritsenk/PublishingImages/genetic%20code.jpg> ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili@gmail.com |