I wanted my MIP solver to exit when it finds its first non-zero solution (i.e. 2nd solution).
So i set option 'mip_limit_solutions' = 2 to run my code. It does run and find a solution but when it tries to returns the output it gives the error. I tried to increase the limit to 999(i.e. solver exits due to finding optimal instead of this limit) and it finds the global optimal and returns the solution. Hence, I suspect the error related to the solution limit. I have included the terminal output and a code snippet below. I have not included the entire model as it solves perfectly if that option is not used.
In case the formatting below is bad, here is a screenshot of the terminal output.Terminal Error Output
Detecting symmetries...
0 2 2466.7967 37 1475.9071 2465.8441 280 67.07%
Elapsed time = 0.50 sec. (218.90 ticks, tree = 0.01 MB, solutions = 1)
228 155 integral 0 1476.1593 2315.5068 3073 56.86%
Implied bound cuts applied: 1
Flow cuts applied: 4
Mixed integer rounding cuts applied: 19
Gomory fractional cuts applied: 1
Root node processing (before b&c):
Real time = 0.50 sec. (218.93 ticks)
Sequential b&c:
Real time = 0.16 sec. (71.10 ticks)
------------ Total (root+branch&cut) = 0.66 sec. (290.03 ticks)
File
"\venv\lib\site-packages\pyomo\solvers\plugins\solvers\persistent_solver.py",
line 527, in solve
default_variable_value=self._default_variable_value)
File "\venv\lib\site-packages\pyomo\core\base\PyomoModel.py", line
242, in load_from
% str(results.solver.status))
ValueError: Cannot load a SolverResults object with bad status: error
Code: Python CPLEX Version: CPLEX Studio 12.10
I wanted my MIP solver to exit when it finds its first non-zero solution (i.e. 2nd solution).
So i set option 'mip_limit_solutions' = 2 to run my code. It does run and find a solution but when it tries to returns the output it gives the error. I tried to increase the limit to 999(i.e. solver exits due to finding optimal instead of this limit) and it finds the global optimal and returns the solution. Hence, I suspect the error related to the solution limit. I have included the terminal output and a code snippet below. I have not included the entire model as it solves perfectly if that option is not used.
In case the formatting below is bad, here is a screenshot of the terminal output.Terminal Error Output