4.2.4. Trend Analysis

With the AMA software, it is possible to filter the solution coloring according to the applied technological options for a given attribute. Figure 9 showcases the distribution of the options for the morphable wing section attribute. It points out the definitive advantage of entire wing morphing regarding flight performance. Simultaneously, morphing only at wing root appears to contribute to slightly less system complexity than morphing at the wing tip. The influence of these two options while fixing the other attributes results in pure solution translation along the axes, which, however, is not very significant compared to the size of the solution space. This speaks for small solution score sensitivity against these options.

Furthermore, the distribution of different morphing technologies is observed in Figure 10. Mechanical extension of the airfoil with flaps and/or slats showcases less system complexity compared to the other mechanisms. Similarly to the previous visualization, compact groups of solutions can be observed, which incorporate different morphing technologies with the other attributes fixed. Again, this testifies the reduced influence of the contour morphing, the memory alloys and the piezoelectric plates referred to the solution space size.

**Figure 9.** Option distribution for the morphable wing section attribute. Gray—near wingtips; yellow—near wing root; red—both or entire wing. The solution space is zoomed for a better visibility of all solutions.

**Figure 10.** Option distribution for the morphing technology attribute. Gray—mechanical extensions (flaps, slats); yellow—contour morphing; green—memory alloys; red—piezoelectric plates. The solution space is zoomed for a better visibility of all solutions.

#### *4.3. Participant Feedback*

Since the current article describes another iteration of the method development, the feedback of the participating experts represents an important result combined with the solution space.
