Planning Under Uncertainty: Methods and Applications
Abstract
This ambitious projects that would enhance both the optimization tools and modeling, and increasing computing power based on rigorous mathematical analysis, can have far-reaching impact on large-scale optimization and simulation problems of interest to the Air Force such as military logistics and planning.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 09, 2010
- Accession Number
- ADA522122
Entities
People
- Stephen M. Robinson
Organizations
- University of Wisconsin–Madison