Weighted sums fail to evenly distribute Pareto points in optimization problems.
The article explains why minimizing weighted sums of objectives in multicriteria optimization may not always give a good spread of solutions. When the Pareto curve is not convex, this method may miss some important points. Even for convex curves, evenly distributed weights don't always lead to evenly distributed solutions. The slope of the Pareto curve affects how weights should be distributed for a balanced set of solutions. The researchers provide examples to illustrate these points.