Crossover operator for a superposed individual set

Hello,

I'm a telecommunication science student, and I am working with GA. We have
to optimitze a very hard problem. Our goal is to find a solution that is
formed by a superposed set of individuals. That is, individuals that are
forming our population are a set of parametres that are repeated because are
superposed. An example:
an simple individual can be formed by 4 parameters: X,Y,Z, (for spatial
position) and V (a value in that position), or a superposed set of those
parametres. We want to find an hipotetical composed individual formed by a 4
simple individuals that are representated by
        X1,Y1,Z1,V1
        X2,Y2,Z2,V2
        X3,Y3,Z3,V3
        X4,Y4,Z4,V4
The individual are formed by 4x4 parameters now.
How can i write a good code to implement the crossover operator? Some body
have an idea? May be a correlation between paramters can be a good option,
but in the first generations there is not correlations.
We work now with one point classical crossover operator and we have som
goods solutions, but can it be optimitzed?
Thank  you.