[galib] None

[Dr. Ian Wilson]

Hi Vinay,

In the mean time, take a look at these web resources:

http://cs.felk.cvut.cz/~xobitko/ga/
http://www.lapthorn.net/code/GA/btl_GA.asp
http://geneticalgorithms.ai-depot.com/Tutorials.html

which I hope will help you get started (the GA Example (1D func.) in the
first link is particularly helpful assuming you can view Java Applets).

Ian

----- Original Message ----- 
From: "floriano zanieri" <zanieri at students.math.unifi.it>
To: <galib at mit.edu>
Sent: Thursday, August 28, 2003 12:07 PM
Subject: Re: [galib] None


> Hi,
>  I read the Melanie Mitchell's book, It is just an introduction
>  I think that the Goldberg 's book is better.
>  Tha manual of the Galib is good.
>  Regards
>
>  Floriano
>
>
> On Tue, Aug 26, 2003 at 10:37:00PM +0200, Liekens, A.M.L. wrote:
> > Hi again,
> >
> > Answering your questions would take me a lot of work that has already
been
> > described in several places in the academic literature and on the
internet.
> > The algorithm used in GALib's example number 1, is a simple genetic
> > algorithm, which is a very common algorithm in the literature. I would
> > advise you to look up an introductory article or book on the subject in
> > order to learn more about genetic algorithms and their possible
> > implementations (of which GALib is a very good one). Maybe Melanie
Mitcell's
> > book "An Introduction to Genetic Algrithms." It may also help to study
the
> > manual of GAlib in order to understand the inner workings of the
libraray.
> >
> > Anthony Liekens,-
> >
> > -----Original Message-----
> > From: VINAY VENKATARAGHAVAN
> > To: galib at mit.edu
> > Sent: 8/26/2003 6:10 PM
> > Subject: RE: [galib] None
> >
> >
> > What I meant when I asked the question as to how is the solution being
> > obtained is that the objective of the program was to fill a string with
> > alternating 1's and 0's.
> >
> > 1. Therefore, how does the evolution process in this
> > example and case evolve only the fittest  individuals. Since in this
> > case
> > I do not see any selection happening.
> >
> > 2. What is the basis for populating the genomes for subsequent
> > generations.
> > Is it as per the genome with the highest score in the current
> > generation.
> >
> > 3. How is the mutation and combination taking place. Where and when does
> > it
> > take place. At which stage of the process in a particular generation.
> > For
> > example for a particular generation: are all the individuals first
> > evaluated and only after that is the mutation and crossover applied? At
> > what point does mutation and crossover take place?
> >
> >
> > Thank you for the previous response. It really helped.
> >
> > Vinay
> >
> >
> > On Fri, 22 Aug 2003, Liekens, A.M.L. wrote:
> >
> > > 3. In the example in ex1.C how are we evaluating the fitness of the
> > > individuals in the population belonging to each generation? How
> > specifically
> > > is the solution being obtained.
> > >
> > > The first genome that is created in the ex1 main function, is given a
> > > pointer to the Objective fitness function. As the ga creates more
> > genomes,
> > > the objective function is cloned from this first genome. As such, the
> > > fitness of the individuals can be computed, using this objective
> > function.
> > > Evolution now takes care of of evolving individuals with a fitness as
> > high
> > > as possible. (I don't really get what you mean with your question "How
> > > specifically is the solution being obtained.")
> > >
> > > Anthony,-
> > >
> > >
> >
> >
> >
> > _______________________________________________
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> > http://mailman.mit.edu/mailman/listinfo/galib
> >
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