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params.m
function params(filename)
% Copyright 2023, 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
