This bias can have dramatic effect if the POS is located at the constraint boundary, since most of the samples will be used to only explore a narrow region of the PF. Thus, post-repair necessitates a careful choice of the repair function as well as a priori knowledge on how the constraints restrain the PF. In contrast, pre-repair algorithms do not suggest any infeasible points. The only infeasible points will come from the initialization step. Therefore, pre-repair algorithms are ideal for handling known constraints on MAPs. and EGBO (orange), with dotted lines for post-repair and solid lines for pre-repair demonstrating the superiority of EGBO. We also include Sobol sampling (grey) as a baseline comparison.