Integer and combinatorial optimization
Integer and combinatorial optimization
Multicast routing for multimedia communication
IEEE/ACM Transactions on Networking (TON)
Discrete Applied Mathematics
Computers and Operations Research
Integer Programming Formulation of Traveling Salesman Problems
Journal of the ACM (JACM)
A comparison of Steiner tree relaxations
Discrete Applied Mathematics - Special issue on the combinatorial optimization symposium
An Exact Branch and Bound Algorithm for the Steiner Problem in Graphs
COCOON '95 Proceedings of the First Annual International Conference on Computing and Combinatorics
A source-based algorithm for delay-constrained minimum-cost multicasting
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 1)-Volume - Volume 1
A survey of combinatorial optimization problems in multicast routing
Computers and Operations Research
Modeling and solving the rooted distance-constrained minimum spanning tree problem
Computers and Operations Research
Networks - Special Issue on Trees
Improving linear programming approaches for the steiner tree problem
WEA'03 Proceedings of the 2nd international conference on Experimental and efficient algorithms
Mathematical Programming: Series A and B
Algorithms for delay-constrained low-cost multicast tree construction
Computer Communications
A distributed dual ascent algorithm for the Hop-constrained Steiner Tree Problem
Operations Research Letters
Improvements and extensions to the Miller-Tucker-Zemlin subtour elimination constraints
Operations Research Letters
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This paper investigates the Steiner Tree Problem with Delays (STPD), a variation of the classical Steiner Tree problem that arises in multicast routing. We propose an exact solution approach that is based on a polynomial-size formulation for this challenging NP-hard problem. The LP relaxation of this formulation is enhanced through the derivation of new lifted Miller-Tucker-Zemlin subtour elimination constraints. Furthermore, we present several preprocessing techniques for both reducing the problem size and tightening the LP relaxation. Finally, we report the results of extensive computational experiments on instances with up to 1000 nodes. These results attest to the efficacy of the combination of the enhanced formulation and reduction techniques.