genome evaluation

G.Spagnuolo spanish at
Mon Apr 16 14:07:11 EDT 2001

Hi galib-ers,
I am using a non stationary penalty function for solving a constrained 
optimization problem.
I've implemented a steady state ga with, we say for example, 
Nevertheless, as the penalty function changes its value, the individuals 
survived from one generation to the subsequent have to be re-evaluated, 
while the "new" individuals does not need to be re-evaluated.
Now, my question is the following: is it enough to update the first 30% of 
the population after the ga-step is completed?
I think this is not right, because after the ga.step the individuals are 
re-ordered on the basis of objective functions that refers to two different 
This problem occurs whenever the objective function change with the 
generation index (from 0 to the maximum number of generations allowed).
Thanks in advance for any suggestion.

Best regards.


Dr. Giovanni Spagnuolo, Ph.D.
Assistant Professor
University of Salerno
Dipartimento di Ingegneria dell'Informazione ed Ingegneria Elettrica
Via Ponte Don Melillo
84084 Fisciano - Salerno - Italy
phone: +39 089 964258
fax: +39 089 964218
e-mail: spanish at

"You can tell whether a man is clever by his answers.
You can tell whether a man is wise by his questions."
Naguib Mahfouz

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