It sounds like you may be mixing up multi-objective and cooperative  
coevolutionary methods.  A multiobjective problem has multiple  
fitness functions.  A cooperative coevolutionary method breaks  
solutions to problems into subsolutions and partially learns those  
subsolutions separately.

This isn't something that can be answered on this list, which is  
restricted to ECJ issues: it needs a broader evolutionary computation  
list.

Sean

On Nov 14, 2007, at 6:43 AM, Anais Martínez wrote:

> Hi.
> I'm working with a multi-objetive problem wich has a lot of  
> parameters, for
> example values for an affinity matrix. There is a lot of parameters  
> and I've
> thought to use a genetic algorithm to evaluate these parameters.  
> Would be
> possible to make individuals who are multi-objetive programmes with  
> distinct
> parameters?
>
> Thanks.