[Swarm-Support] GA Basic Questions

[David Camacho Trujillo]

Hi everyone, 

I am developing an agent model based on the CRNN (continuous time recurrent 
neural networks, implemented by J.J.Merello in Neurolib-2.1) the actual model 
runs fine. 
But as mentioned for some authors, the best way to improve their behaviour 
(changing weights and bias terms) is through a Genetic Algorithm (there are 
also one GA, Breeder-2.1 developed by JJMerello) but I don´t know how to 
implement it.  I have read the respective documentation, witch is clear, but 
still some very basic things are not clear to me, because I have no clue on GA.
As far as I understood, the model to be optimised, in this case the NN, should 
be created by the GA. As this model is fixed, (I don´t want to optimised the 
architecture, it is “full connection”, nor the number of neurons) I suppose 
the GA should create just one copy of the model. Which in turn should be 
utilized by the “fitness function” to evaluate the entire population of 
chromosomes (which represent the weights to be optimised). If this one copy 
supposition is right, still is not clear to me, if the model should be 
reinitialised every time for the new set of weights, or a new model as to be 
created.
On the other hand, is all this is right, I suppose I have to run the model in 
batch mode, but it  is the most important part for me, not the GA. So how can 
I visualize the result?


I hope some one can give me some directions,

Thanks,
David Camacho


David Camacho Ph.D. Student
Intelligent Bioinformatics Systems
German Cancer Research Center - DKFZ - TP3
www.dkfz.de
Im Neuenheimer Feld 580
69120 Heidelberg
DKFZPhone: +49 (0) 6221 42 3611
Fax:       +49 (0) 6221 42-3620