Optimization and Applications of Discrete Event and Hybrid Dynamic Systems
Abstract
This is the final report of F49620-95-1-0131 which ended on 12/31/97. Our motivation for the work reported here is the need for effective design, analysis, and optimization techniques for large, complex, stochastic Discrete Event Dynamic Systems (D, EDS). DEDS are typified by communication networks, manufacturing, computer, C41, traffic and other systems governed by human-made rules and clearly important in all aspects of modern technology. The two major research thrusts of this effort are: New approaches to optimization specifically aimed at the problem of large search spaces that lack analytical structure. New ways to simulate DEDS in concurrent or parallel fashion that will speed up our ability to design and analyze their performance and that are naturally matched to emerging parallel computing capabilities and software paradigms such as object-oriented programming.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1998
- Accession Number
- ADA388240
Entities
People
- Yu-chi Ho
Organizations
- Harvard University