Automated Resource Optimization for Large Scale Complex

We propose to develop an Automated Resource Optimization (ARO) prototype for efficiently solving many resource allocation problems encountered in the design of large scale complex systems. Our proposed approach is based on a novel optimization framework, the Nested Partitions Method. The main goal of the proposed Phase I effort will be to demonstrate the feasibility of the ARO prototype. The Phase I effort will provide a foundation for development of automated resource optimization software tools in Phase II. These software tools can be integrated into systems engineering environments in supporting virtual engineering technology.