Commercial Framework for Bi-Level Integrated System Synthesis

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$69,615.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
NAS1-03027
Award Id:
62173
Agency Tracking Number:
022672
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1715 Pratt, Blacksburg, VA, 24060
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Brett Malone
Principal Investigator
(540) 961-7215
malone@phoenix-int.com
Business Contact:
Brett Malone
President
(540) 961-7215
malone@phoenix-int.com
Research Institute:
n/a
Abstract
Phoenix Integration proposes a Phase I SBIR project to commercialize the BLISS methodology within the popular integration and optimization framework, ModelCenter?. This work will be significant, because a powerful and flexible algorithm will be provided to industry in a user-friendly and open integration environment. The research and modifications required to ModelCenter will revolutionize the way industry approaches optimization because of the benefits of parallel subsystem design optimization coupled with flexible, distributed code integration.Further, the research will advance the field of engineering design by introducing commercially-available methods for hierarchical decomposition and optimization, making more complex analysis easier. The significance to industry is that more complex problems can be solver faster and easier by applying the BLISS approach to multidisciplinary problems. The return on investment for companies will be substantial because hierarchical decomposition and optimization makes it possible to run subsystems in parallel. The benefits is better utilization of hardware cycles.Overall, integration of the BLISS approach into Phoenix Integration?s tools will result in:? Better integration of multiple disciplines for complex industry problems? Easy to use interface allows end users to create BLISS optimization problems? Better hardware utilization due to increased parallel computing

* information listed above is at the time of submission.

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