Inactive constraints do not contribute to the solution but increase the
problem size and burden the numerical computations. We present a novel strategy
for handling inactive constraints efficiently by systematically removing the
inactive constraints and redundant constraint sets under a mesh refinement
framework. The method is tailored for interior point-based solvers, which are
known to be very sensitive to the choice of initial points in terms of
feasibility. In the example problem shown, the proposed scheme achieves more
than 40% reduction in computation time.