Adaptive DOE Optimization

Adaptive DOE optimization is a space-filling DOE technique. The technique optimizes the position of points in the design space by maximizing the distance from any other point. This strategy ensures that no two points are too close to each other.

See Also
Configuring the Adaptive DOE Optimization Technique

The Adaptive DOE optimization technique centers a series of N space-filling DOEs on a projection that has not been evaluated yet (similar to the gradient method step). The technique evaluates the projection only in the next step. To produce a more accurate optimum, the DOE search space shrinks and expands from iteration to iteration.

The figures below show examples of points that are filled into the specified bounding box to produce a more accurate optimum with uniformly distributed points. The first iteration of an Adaptive DOE fills 25 points in the domain: 0.0⁢<x1⁢<1.0 and 0.0<x2⁢<1.0 .

The second iteration of the Adaptive DOE fills 25 more points in a shrunken domain: 0.2⁢<x1⁢<0.6 and 0.5<x2⁢<0.8 .