[galib] extract and replacing genomes

[mmj10@aber.ac.uk]

It will take me ages to explain what the project is about, there is a set
number of generations and a terminator when the score reaches a certain
number.

All I need at the moment is the answer to my initial question, I got a
genome class ready where it calls GASimpleGA step()


> Le 22/01/2011 16:32, mmj10 at aber.ac.uk a écrit :
>> I am in the final part of my project with Genetic Algorithms and I need
>> a
>> bit of help
>>
>> What I am trying to do is to have every genome in every individual
>> optimized with a optimization algorithm (it doesn't really matter about
>> what the algorithm is)
>>
>> The three steps I want to do is to...
>>
>> Extract the individuals genomes
>>
>> call an optimization function to optimize the values
>>
>> put the optimized genes back into the individual and put the individual
>> back in the population.
> Hi,
> There is something I can't understand. If you know how to optimize every
> genome toward an objective, why should you need to use a GA in addition ?
> If you have two goals (one for the GA and one for the extra-GA
> optimization) I'm afraid that the GA will never converge...
>
> My best, P. Coquillard
>
>> I am doing this to every individual in every generation
>>
>> Any help is really appreciated
>>
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>>
>
>
> --
> Le Savoir n'est pas une marchandise
> L'Université n'est pas une entreprise
> --
>
> Dr. Patrick Coquillard
> Institut Biologie et santé des Végétaux
> 400, route des Chappes
> 06 903, Sophia Antipolis
>
> Tél/fax : 04 92 38 64 30
> http://www.unice.fr/coquillard
>
>