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and multiobjective optimization. As to the quality aspect, however, there is a difference. In singleobjective optimization, we can define quality by means of the objective function: the smaller (or larger) the value, the better the solution. In contrast, it is not clear what quality means in the presence of several optimization criteria: closeness to the optimal front, coverage of a wide range of diverse solutions, or other properties? Therefore, it is difficult to define appropriate quality measures for approximations of the Paretooptimal front, and as a consequence. Hence, binary quality indicators represent the lowest level of representation on which it is still possible to detect whether an algorithm performs better than another in terms of the quality of the outes. On the other hand,this does not mean that u