US 12,461,943 B1
Refinement of large multi-dimensional search spaces
Burkhard Ringlein, Bülach (CH); Srikumar Venugopal, Dublin (IE); Michael Johnston, Dublin (IE); and Christoph Hagleitner, Wallisellen (CH)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jun. 27, 2024, as Appl. No. 18/756,150.
Int. Cl. G06F 16/00 (2019.01); G06F 16/28 (2019.01)
CPC G06F 16/283 (2019.01) 17 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
detecting a search request of a multi-dimensional search space by a system;
responsive to detecting the search request, sampling representative parameters in the multi-dimensional search space based on a sampling threshold;
generating samples of the multi-dimensional search space, evaluating the samples, ranking the samples, pruning the samples of the multi-dimensional search space that are below the statistical guarantee, and generating further samples;
determining a parameter range of the representative parameters in the multi-dimensional search space; and
transforming a part of the multi-dimensional search space based on a statistical guarantee and the parameter range, wherein the part of the multi-dimensional search space is a refined space for a solution of the search request.