Summaries - Office of Research & Innovation
Research Summaries
Back An ABI-Motivated Optimization Algorithm for Re-planning and Scheduling of Tasking SIGINT Systems
Fiscal Year | 2019 |
Division | Graduate School of Engineering & Applied Science |
Department | Mechanical & Aerospace Engineering |
Investigator(s) |
Ross, Isaac M.
Karpenko, Mark |
Sponsor | Department of Defense Space (DoD) |
Summary | As a means to overcome critical issues in the multi-sensor collection planning and scheduling process, we propose to develop an entirely new mathematical foundation for multi-sensor collection planning and scheduling. The basic idea of our approach is to model the governing laws that constitute the construction of the weights and values of the edges and vertices of the dynamics-driven multi-sensor collection planning graph. |
Keywords | graph problem orienteering problem planning and scheduing |
Publications | Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal |
Data | Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal |