Research Summaries

Back Hybrid Centralized and Decentralized Algorithms for Resource Optimization in Stochastic Environments

Fiscal Year 2013
Division Graduate School of Engineering & Applied Science
Department Systems Engineering
Investigator(s) Chung, Timothy H.
Sponsor Office of Naval Research (Navy)
Summary This joint Johns Hopkins University (APL and JHU Department of Applied Mathematics and Statistics) and Naval Postgraduate School (NPS) response focuses on thrust area (1), Resource Optimization, as described in Special Notice 12-SN-0009. The aim of the team is the development, analysis, and application of rigorous methods in deterministic and stochastic optimization that will provide optimal or provably near-optimal solutions to resource-allocation problems of interest to the U. S. Navy. While the focus is on the theme, sensor management and allocation, within thrust area (1), it is expected that at least some of the algorithms and theory being developed will be applicable to other areas of naval interest, including the other theme, maritime mission planning, within thrust area (1), and perhaps to other thrust areas.
Keywords
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