Artificial Intelligence Hybrid Range Scheduler

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F29601-01-C-0021
Agency Tracking Number: 001NM-0402
Amount: $896,145.00
Phase: Phase II
Program: SBIR
Awards Year: 2001
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Suite 1000, 3 Innovation Way, Newark, DE, 19711
DUNS: 077990047
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Tom Pelaia
 Project Manager
 (302) 894-8022
Business Contact
 Irene Philips
Title: Exec. Vice President
Phone: (302) 894-8020
Research Institution
Scheduling is a complex, NP-hard problem that challenges the use of any single solution technique. In Phase I, we built a model that uses our multi-technique Quantum Leap Problem Solving Engine to solve a representative but simplified version of the AirForce Satellite Control Network (AFSCN) contact scheduling problem. The system demonstrated that it could schedule the hundreds (500 to 600) of tasks per day required well within the expected time frame of a few hours for next-day scheduling. We arepresently creating a scheduling language and investigating new techniques for improving performance.In Phase II, we will create a Scheduling and Planning Framework (SPF) which builds upon the phase I proof of concept and incorporates the new performance improving techniques. We will build a scheduling system for the AFSCN problem that goes beyond thesimple proof of principle and solves the real scheduling problem. We will also solve the spacelift range asset scheduling problem. Both solutions will be built on the SPF using unique data input and output interfaces.

* Information listed above is at the time of submission. *

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