Return all optimal Sulutions

[Thomas B]

Hello,

I am using the pywraplp.Solver.CreateSolver('SCIP') to solve a NFM.

I would like to return all optimal sulutions.

Somehow, I only get one optimal solution. All the other solutions have a higher objective value.

status = self.m.Solve()

if status == pywraplp.Solver.OPTIMAL:
    print('Solution: 1')
    print('Objective value =', self.m.Objective().Value())
    

    for i in range(2,11):
        print("Solution: ", i)
        status_next = self.m.NextSolution()
        print(status_next)
        if status_next == pywraplp.Solver.OPTIMAL:
               print('Objective value =', self.m.Objective().Value())

[Laurent Perron]

impossible in python. 

Limited in C++.

Does your model contain continuous variables ? If not, you can use the CP-SAT API (not the linear solver).

Laurent Perron | Operations Research | lpe...@google.com | (33) 1 42 68 53 00

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