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	$<span>$</span>\leq<span>$</span>$	4
	x	+	y			$<span>$</span>\geq<span>$</span>$	1
	x, y, z binary

Note that this is the same model that was modeled and optimized in theC Interfacesection.

这是完整的source code for our example (also available in/examples/matlab/mip1.m)...

function mip1() % Copyright 2021, Gurobi Optimization, LLC % This example formulates and solves the following simple MIP model: % maximize % x + y + 2 z % subject to % x + 2 y + 3 z <= 4 % x + y >= 1 % x, y, z binary 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); end