[galib] None

[floriano zanieri]

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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