I am solving a MILP using Gurobi and Pyomo. I would like to obtain as many optimal solutions as possible. Here is what I have so far:
opt = SolverFactory('gurobi_persistent') n_of_s = 10 opt.set_instance(model) opt.set_gurobi_param('PoolSolutions', n_of_s) opt.set_gurobi_param('PoolSearchMode', 2) opt.solve(model, tee=True) opt.set_gurobi_param('SolutionNumber',2) model.pprint()
At some point Gurobi displays
Solution count 3: 5000 5000 5000. However, when trying to access the value of optimal variables, I can only access one solution.
I have tried using the
Xn attribute, but Gurobi states
AttributeError: '_GeneralVarData' object has no attribute 'Xn'.