Random starts: The number of times the selection process will repeat. The best design will be chosen from among the repeats.
Number of threads: The number of computation cores in the CPU that can be assigned a task by Stat-Ease 360. The default is to use one less than the number of cores on the local machine (or just one if the computer is that old).
Start distance: The maximum distance in coded units a point can be moved to attempt to improve the current design criterion.
Stop distance: The minimum distance in coded units a point will be moved.
If no improvements to the design criterion are found between the start and stop size for a given point, the algorithm with move to the next point or terminate if on the last point.
Max Loops: The maximum number of iterations to improve from each random start.
Run until convergence: Checking this box allows the algorithm to run until no further improvement can be found. This can take a long time but does result in slightly more optimal designs.
Excursion size: The maximum number of points that will be swapped at a time to improve the design criterion. Higher numbers produce a better design, but take longer to create.
Click the Defaults button to reset the parameters above to the original settings.