params.m


function params(filename)
% Copyright 2022, 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

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

Search