Improved versions of the LEDE algorithm for constrained global optimization

Two modified versions of the authors’ recent differential evolution algorithm for constrained global optimization are proposed. They incorporate a filter set which results in more efficient implementations of the original algorithm. Numerical results are presented which suggest that the new algorithms are competitive.