Example
Example
Let us now turn our attention to an example of using Gurobi to solve a simple MIP model. Our example optimizes the following model:
maximize | x | + | y | + | 2 z | ||
subject to | x | + | 2 y | + | 3 z | ![]() |
4 |
x | + | y | ![]() |
1 | |||
x, y, z binary |
This is the complete source code for our example (also available in
<installdir>/examples/matlab/mip1.m
)...
names = {'x'; 'y'; 'z'}; model.A = sparse([1 2 3; 1 1 0]); model.obj = [1 1 2]; model.rhs = [4; 1]; model.sense = '<>'; model.vtype = 'B'; model.modelsense = 'max'; model.varnames = names; gurobi_write(model, 'mip1.lp'); params.outputflag = 0; result = gurobi(model, params); disp(result); for v=1:length(names) fprintf('%s %d\n', names{v}, result.x(v)); end fprintf('Obj: %e\n', result.objval);