Pinned topic getting values of decision variable at time of aborting the run
using CP;
int n=...;
range R=1..n;
dvar int x[R] in 1..n*n;
minimize x10;
subject to
{
forall(i in 1..n)
forall(j in i..n)
forall(k in j+1..n)
x[k]x[j]x[i]!=0;
forall(i in 1..n)
forall(j in i+1..n)
forall(k in j..n)
forall(l in k+1..n)
x[l]+x[i]x[j]x[k]!=0;
forall(i in 1..n)
forall(j in i..n)
forall(k in j..n)
forall(l in k+1..n)
x[l]x[i]x[j]x[k]!=0;
forall(i in 1..n1)
{
0<x[i];
x[i]<xi+1;
xi+1<=n*n;
}
}
for n=10 it does not produces its optimal value in more than 10 hours.So if I want to get the values of decision variable at a particular time after aborting the execution of program. what should I do?Please help me.
I have working on COP a problem that has multiple solution for obtaining multiple solution I am doing it by converting it to a CSP problem and getting the value.After running the program it produces identical solution of many sets. What should I do to avoid this. I am using CP model in OPL.

ACCEPTED ANSWER
Re: getting values of decision variable at time of aborting the run
20130502T08:48:46Z in response to anshu.iitvHello,
if you do not want to wait for the proof, you can use search limit. For example, you can limit the search to just five minutes:
execute { cp.param.timeLimit=300; }
Regarding the identical solutions. If there is no objective, then there's no guarantee that the same solution is reported multiple times. This is documented for example in C++ function IloCP::next:
This member function searches for a new (or first) solution to the model. In the case of an optimization problem (with an instance of
IloObjective
in the model),next
finds a solution strictly better than the previous solution found. In the case of a satisfaction problem,next
returns a solution usually different from those previously found but, it may occasionally find a solution that had been found already. Repeatedly callingnext
until it returnsIloFalse
is guaranteed to terminate and to not miss any solutions of the model being solved.Best, Petr