Research Article
An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm
Figure 8
(a) shows that the number of units is optimal at 7. The three other design variables are evolving to the bottom side showing that the simulation is reducing the cross-sectional dimensions in order to obtain better solutions in the Pareto front.
(a) Number of scissor units |
(b) Height of the box cross section |
(c) Width of the box cross section |
(d) Thickness of the box cross section |