Optimization, Python, Linear Optimization, Operations Research.
'disp':False, 'xtol': 1e-8} ) PuLP solver = pulp.solvers.GLPK_CMD(msg=0) results = model.solve(solver) Pyomo solver = pe.SolverFactory("glpk") solution = solver.solve(model) Lets check the results SciPy if (solution.success) and (solution.status == 0): print("Solution is feasible and optimal")