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What reasons would cause lazy constraints to degrade the performances when reoptimizing with a different objective?

We are currently solving a hard MILP problem on optimality. Once it has been solved, several times (from 5 to 10 times), we change one coefficient of the objective function and reoptimize. Thus the ...
JKHA's user avatar
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cpu time in docplex

mdl.print_information() sol = mdl.solve() mdl.print_solution() if sol is None: print("Infeasible") print(mdl.solve_details) At the end of ...
GTek's user avatar
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Optimization algorithms for problems with variable objective function

Let us assume a single objective binary optimization problem, where you need to solve it 20,000 times (approx) in order to tune some coefficients. The objective function includes two components. The ...
mdslt's user avatar
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