[Help-glpk] how can I evaluate a previous solution within MathProg Model?

[Rafael Torres]

Hi help-glpk team:

I'm doing a research about a consensus and a got a question:

I have as parameter a matrix  A of size mxn like this

     | y1  y2  y3

---- |------------------

x1  |  1   2   2   

x2  |  1   2   1

x3  |  2   3   2

x4  |  3   2   3

where  every element in the matrix represent an label A=1 , B=2 and C=2

and when I resolve my model I get a vector solution Z of size mx1 like this:

    |  Z[i]

----|--------

x1 |   2

x2 |   1

x3 |   2

x4 |   3

where every point represent the minimum distance with respect cell  aij in matrix A

my objective function is:

min sum{i in I, j in J } | aij - zi  |   (in my model, this objective function was already linearized )

now suppose that I have an number r o matrices A e.g. A1, A2, A3 ... At     and I get a solution z for every matrix like above.

then I need evaluate every solution z in every Matrix Ar , r = 1,...,t  except the matrix where the solution came from. i.e.  now I have matrix A and solution z and I don't need optimize only evaluate solutions found in previous matrices

Can you help me with this issue?   

Thanks in advance

Best regards  

--

 

RAFAEL TORRES ESCOBAR

Alumno Maestría en Ingeniería de Sistemas

Facultad de Ingeniería Mecánica y Eléctrica

UNIVERSIDAD AUTÓNOMA DE NUEVO LEÓN.

México.

http://pisis.fime.uanl.mx/students/rafael_torres.html

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GBY