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params.m
function params(filename) % Copyright 2018, Gurobi Optimization, LLC % % Use parameters that are associated with a model. % % A MIP is solved for a few seconds with different sets of parameters. % The one with the smallest MIP gap is selected, and the optimization % is resumed until the optimal solution is found. % Read model fprintf('Reading model %s\n', filename); model = gurobi_read(filename); ivars = find(model.vtype ~= 'C'); if length(ivars) <= 0 fprintf('All variables of the model are continuous, nothing to do\n'); return; end % Set a 2 second time limit params.TimeLimit = 2; % Now solve the model with different values of MIPFocus params.MIPFocus = 0; result = gurobi(model, params); bestgap = result.mipgap; bestparams = params; for i = 1:3 params.MIPFocus = i; result = gurobi(model, params); if result.mipgap < bestgap bestparams = params; bestgap = result.mipgap; end end % Finally, reset the time limit and Re-solve model to optimality bestparams.TimeLimit = Inf; result = gurobi(model, bestparams); fprintf('Solution status: %s, objective value %g\n', ... result.status, result.objval); end