test_GurobiApi.cpp

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#include <iostream>
#include <limbo/solvers/api/GurobiApi.h>

int main()
{
    // ILP model 
    typedef limbo::solvers::LinearModel<double, double> model_type; 
    model_type optModel; 
 
    // create variables 
    model_type::variable_type var1 = optModel.addVariable(0, 1, limbo::solvers::CONTINUOUS, "x1");
    model_type::variable_type var2 = optModel.addVariable(0, 1, limbo::solvers::CONTINUOUS, "x2");
    model_type::variable_type var3 = optModel.addVariable(0, 1, limbo::solvers::CONTINUOUS, "x3");
    model_type::variable_type var4 = optModel.addVariable(0, 1, limbo::solvers::CONTINUOUS, "x4");
 
    // create objective
    optModel.setObjective(var1+var2+var3+var4); 
    optModel.setOptimizeType(limbo::solvers::MIN);
 
    // create constraints 
    optModel.addConstraint(var1 - var2 >= 0.5, "c1"); 
    optModel.addConstraint(var4 - var3 >= 0.1, "c2"); 
    optModel.addConstraint(var2 - var3 >= 0.2, "c3"); 
 
    // solve by Gurobi 
    typedef limbo::solvers::GurobiLinearApi<model_type::coefficient_value_type, model_type::variable_value_type> solver_type; 
    solver_type solver (&optModel); 
    limbo::solvers::GurobiParameters gurobiParams; 
    gurobiParams.setNumThreads(1);
    gurobiParams.setOutputFlag(1); 
 
    limbo::solvers::SolverProperty optStatus = solver(&gurobiParams); 
 
    std::cout << "optStatus = " << optStatus << std::endl; 
 
    std::cout << optModel.variableName(var1) << " = " << optModel.variableSolution(var1) << "\n";
    std::cout << optModel.variableName(var2) << " = " << optModel.variableSolution(var2) << "\n";
    std::cout << optModel.variableName(var3) << " = " << optModel.variableSolution(var3) << "\n";
    std::cout << optModel.variableName(var4) << " = " << optModel.variableSolution(var4) << "\n";
 
    return 0; 
}