Optimization, Python, Linear Optimization, Operations Research.
function value =', pulp.value(model.objective)) EPS = 1.e-6 for (i,j) in x: if x[i,j].varValue > EPS: print("sending quantity %10s from factory %3s to customer %3s" % (x[i,j].varValue,j,i)) Pyomo from pyomo.opt import SolverStatus, TerminationCondition if (solution.solver.status == SolverStatus.ok)