This research concentrates on the analysis and design of heuristics for Steiner minimum trees and related problems. These improvements are based on extensions of recent research on Steiner ratio and better heuristics for Steiner minimum trees. Various researchers have already discovered new methods of studying Steiner tree problems. With such methods, two long-standing problems were recently solved. The goal is to deepen and extend these methods to solve other open problems and to improve heuristics for Steiner minimum trees and other related problems. The research covers the following two aspects: (1) analysis of heuristics; and (2) construction of heuristics.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9208913
Program Officer
Yechezkel Zalcstein
Project Start
Project End
Budget Start
1993-03-01
Budget End
1996-08-31
Support Year
Fiscal Year
1992
Total Cost
$119,285
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Type
DUNS #
City
Minneapolis
State
MN
Country
United States
Zip Code
55455