Originally posted by: FiFila

Hi;

I have some question about application of constraint programming and I am in the first step of solving a problem.

I want to model by CP optimizer and NN a problem (I want to improve the NN by combination of it with constraint programming). As the input of NN is not linear, I can not use CPLEX, I have force to use a CP optimizer. Because I am in primary steps of learning a CP optimizer, would you please send me a sample or reference to see how I can model some constraints by CP optimizer as  a nonlinear input of  my NN.

Cheers

Hi,

you should have a look at the floatexpr example:

// --------------------------------------------------------------------------
// Licensed Materials - Property of IBM
//
// 5725-A06 5725-A29 5724-Y48 5724-Y49 5724-Y54 5724-Y55
// Copyright IBM Corporation 1998, 2013. All Rights Reserved.
//
// Note to U.S. Government Users Restricted Rights:
// Use, duplication or disclosure restricted by GSA ADP Schedule
// Contract with IBM Corp.
// --------------------------------------------------------------------------

using CP;

dvar int i in 1..100;
dvar int j in 1..100;
dvar int k in 1..99;

dexpr float kf = k/100;
dexpr float ar[i in 1..10] = k/i;

minimize kf + sum(i in 1..10)ar[i];

subject to {
   i*(1+kf) == j;
}

tuple solutionT{
    int i;
    int j;
    int k;
};

{solutionT} solution = {};
execute{
solution.add(i,j,k);
writeln(solution);
}

regards

Originally posted by: FiFila

Hi Alex;

Thanks for your reply but I have some nonlinear equation, I should model my constraint and objective. I should work with { iloconstraint and model.add}

Would you please give me some more guidance?

Best regards

Fila