Patent №
US 5,848,403
Granted
1998-12-08
Filed 1997
Owner
BBN CORPORATION
Lab
—
AI components
3
ml · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
08838914
An improved Genetic Algorithm scheduling system includes system for encoding and testing hard constraint information. Each resource and task includes an associated capability and constraint indicating component. A comparison of the capability and constraint components provides an indication of the associated resource is capable of perform the proposed task. The system also includes a method of creating genomes using cost factors and weight settings to produce initial genomes which encode at least partly optimized schedules. The weight settings can be manipulated to emphasize different cost factors during genomes creation. This method also allows changes to be added into a running GA scheduling system, in that new or changed tasks and new or changed resources are encoded into the genome population. The system further includes a method of efficiently detecting and deleting duplicate genomes by converting genomes into a schedule representation, then re-encoding the genomes, and performing a sequential comparison of the genomes.
AI classification
Ownership
BBN CORPORATION
assignment · 85940129
Assignors
MILLIGAN, STEPHEN D., MONTANA, DAVID J., GABRINER, DANIEL C., DESTEFANO, JOSEPH J.
On an employer assignment, the assignors are typically the inventors.