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Main >> Applications >> Sample problems >> LabelMover optimization benchmark
Here are LabelMover optimization benchmarks.
Task 
Theory 
QuickField 
% 
linear1. Move square's right edge to the right in order to get the maximal crosssection area. The movement range is 0..1

2 
1.9981 
0.1% 
linear2. Move square's right and top edges right and up correspondingly in order to get the maximal crosssection area. The movement range for each edge is 0..1.

4 
3.9836 
0.41% 
linear3. Move square's 3 edges (right, left and top) in order to get the maximal crosssection area. The movement range for each edge is 0..1.

6 
5.9674 
0.54% 
linear1_2. Move square's right edge by its two vertices moving right independently in order to get the maximal crosssection area. The movement range for each vertex is 0..1.

2 
1.9967 
0.17% 
linear1_11. There are 11 squares (like the one in task linear1). Move each square's right edge in order to get the maximal total crosssection area. Each edge can be moved independently. All in all there are 11 optimization parameters.

22 
21.928 
0.33% 
square1. Move halfcircle's right vertex in order to get the maximal crosssection area. The movement range is 0..1.

3.5343 
3.5271 
0.2% 
cubic1. The same as previous. Axisymmetric model represents sphere. The sphere volume is calculated. The movement range is 0..1.

14.1372 
14.094 
0.31% 
nonlinear1. Move common boundary 11 of rectangle and halfcircle in order to get the minimal area.

0.6366 
0.6366 
0.00% 
nonlinear2. The same as previous but the volume of sphere and cylinder is minimized.

0.7071 
0.7059 
0.17% 
nonlinear3. Minimization of the total length of the lines connecting the internal point of the rectangle with its vertices. Optimal position of the internal point should be in the intersection of the diagonals. 
5.6569 
5.6569 
0.00% 