similar to: How to get the same result for GA optimization?

Dear Daniel As far as I can see you have re-generated the data before calling ga() so the data is not just a permutation of the first set. Michael On 07/05/2025 15:36, Daniel Lobo wrote: > I am using *Genetic Algorithm* to maximize some function which use data. > > I use GA package in R for this ( > https://cran.r-project.org/web/packages/GA/index.html) > > Below is my code

Hello all, I have two matrices, pop and pop2, each the same number of rows and columns that I want to compare for equality. I am concerned about efficiency in this operation. I've tried a few things without success so far. Doing something simple like: if (pop==pop2) { cat('equal') } else { cat('NOT equal') } results in the warning: 1: In if (pop == pop2) { : the

Hello all, I have the following function call to create a matrix of POP_SIZE rows and fill it with bit strings of size LEN: pop=create_pop_2(POP_SIZE, LEN) I have 3 questions: (1) If I did keep_pop[1:POP_SIZE] == pop[1:POP_SIZE] to keep a copy of the original data structure before manipulating 'pop' potentially, would this make a deep copy or just shallow? Ie

Dear all, I'm quite sure that this is a stupid question, but I'll ask anyway. I want to perform an ANCOVA with two continuous factors and three categorical factors. Plant population growth rate (GR) = dependent variable Seed reduction due to herbivory (SR) = continuous explanatory variable Herbivore species (HS, 2 levels) = categorical explanatory variable Population (Pop, 24 levels) =

Hello. I've just started using R and am trying to figure out if the two codes snippets below have the same output gBest<-floor(runif(popsize,min=1,max=top)) velocity[i,j]<<-.4* velocity[i,j] + 1 * runif(1) * (pbestsVar[i,j] - popVar[i,j]) + 1 * runif(1) * (archiveVar[gBest,j] - popVar[i,j]) and for (i in 1:popsize) { for (j in 1:maxvar) { gBest<-sample(top,size=1)

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 =

Dear Sir: When I try to save large and very complex recursive objects with some components containing models (such as the output from arima or lm ), the resulting file sizes increase by 4 meg per save. example directory: amex 8 meg argentina 12 meg australia 16 meg ... Moreover, I am unable to read these file objects back into R. I note that readBin and writeBin

I was experiencing a strange pattern of slowdowns when using sample.int(), where sampling from a one population would sometimes take 1000x longer than taking the same number of samples from a slightly larger population. For my application, this resulted in a runtime of several hours rather than a few seconds. Looking into it, I saw that sample.int() is hardcoded to switch algorithms when the

Dear All I new to using R and am struggling with some matrix multiplication. I have two matrices, one containing random numbers, these are multiplied together to get another matrix which is different each time. When I put in another for loop to repeat this process a multiple times the matrices are all the same. I?m sure there is a way to keep the randomness of the different matrices but I think

-------------------------------------------------- From: "Ahoussou Sylvie" <sylvie.ahoussou at antilles.inra.fr> Sent: Friday, September 12, 2008 9:48 AM To: "Thomas Lumley" <tlumley at u.washington.edu> Subject: Re: [R] Complex sampling survey _ Use of survey package > Thanks for your answer > > I think I made a mistake when I recopied the 5 first rows of

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 =

Hello R Community, I've been working on a project that uses pre-made C++ libraries (using STL) in R and build a package. However, I've been getting an unusual segfault that I'm unable to trace its origin. After many attempts of debugging using gdb, commenting out parts (or all of my code) and valgrind, I'm unable to make heads or tails about what I'm doing wrong. In fact, when

Version 3.9 of the survey package is now on CRAN. Since the last announcement (version 3.6-11, about a year ago) the main changes are - Database-backed survey objects: the data can live in a SQLite (or other DBI-compatible) database and be loaded as needed. - Ordinal logistic regression - Support for the 'mitools' package and multiply-imputed data - Conditioning plots,

Version 3.9 of the survey package is now on CRAN. Since the last announcement (version 3.6-11, about a year ago) the main changes are - Database-backed survey objects: the data can live in a SQLite (or other DBI-compatible) database and be loaded as needed. - Ordinal logistic regression - Support for the 'mitools' package and multiply-imputed data - Conditioning plots,

I have made the 3-d case do the same as the vector case, which is what the C code clearly intended (a goto label was in the wrong place). This leaves the bigger question of the right thing to do. I note that data frames give an error when any indices are NA. -thomas On Fri, 3 Sep 2004 ripley@stats.ox.ac.uk wrote: > Apart from the inconsistencies, there are two clear bugs here: > > 1)

> This wiki should cover most of the basic stuff that gets asked over and >over again just to help reduce the amount of repetition that most of you >have probably noticed takes place here. Problem is, Wikis in general suck and voip-info.org in particular is quite useless except as a random clicky-clicky exercise. You ever use the search on voip-info.org? It's almost like someone

Dear all, I had a R segmentation fault, and then invoked debug mode and ran step by step. When I reached "terms(Y~X1*X2*...*X16)", I would then have "segmentation" fault. However, if I just ran this under regular "R interactive" mode, it would be fine though taking long time. My questions are: 1. Is there a known limit of terms for a formula? 2. Why does the

Dear all, I had a R segmentation fault, and then invoked debug mode and ran step by step. When I reached "terms(Y~X1*X2*...*X16)", I would then have "segmentation" fault. However, if I just ran this under regular "R interactive" mode, it would be fine though taking long time. My questions are: 1. Is there a known limit of terms for a formula? 2. Why does the

CRAN (and crantastic) updates this week New packages ------------ * bdoc (1.0) Michael Anderson http://crantastic.org/packages/bdoc This package contains a function that will classify DNA barcodes as well as a few test and reference data sets. * bdsmatrix (1.0) Terry Therneau http://crantastic.org/packages/bdsmatrix This is a special case of sparse matrices, used by coxme and

All, Mongrel 1.1.3 Rails 2.0.2 Ruby 1.8.6 Windows XP SP2 When I issue the command "ruby script/server" from any of my Rails projects on v. 2.0.2, I get a Windows dialog with the error: "The application has failed to start because MSVCR80.dll was not found. Re-installing the application may fix this problem." I''ve gone through the process of attempting to introduce