Originally posted by: kc78
Hi I have a MILP problem and i am trying to interate all the possible solutions to the problem using the solution pool feature and at each iteration i add the solutions obtained as integer cut constraints to the problem and resolve it again. I have set the intensity to 4 and the relative and absolute gaps to 0. It works well for the first 2 iterations and then i keep getting repeats of the optimal obj value. For example:
iteration 1 => obj value: 26, # solutions = 6
iteration 2 => obj value: 27, # solutions = 2
iteration 3 => obj value: 28, # solutions = 23
iteration 4 => obj value: 28, # solutions = 21
iteration 5 => obj value: 29, # solutions = 20
iteration 6 => obj value: 29, # solutions = 26
iteration 7 => obj value: 29, # solutions = 19
I thought it could be due to scaling issues between my variables but after i converted all my continuous variables so my problem only has integer and binary variables i still get this problem. I was wondering what other parameters i might have to set to make sure at each iteration i capture all the solutions.
Thank you.
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