In this paper, we present a branch-and-cut algorithm for the exact solution of an NP-hard extension of the well-known Minimum-Weight Arborescence (MWA) problem, in which resource constraints for each node are considered. This Resource-Constrained Minimum-Weight Arborescence (RMWA) problem arises, e.
Minimum-weight rooted not-necessarily-spanning arborescence problem
✍ Scribed by V. Venkata Rao; R. Sridharan
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 687 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0028-3045
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✦ Synopsis
Abstract
In this paper, we propose the problem of identifying a minimum‐weight rooted not‐necessarily‐spanning arborescence (MRA) in a directed rooted acyclic graph with weights on arcs. We show this problem to be NP‐hard and formulate it as a zero—one integer program. We develop a heuristic H to construct a rooted arborescence (RA) in a given graph G, giving an upper bound. We also formulate a Lagrangian problem, LMRA, by relaxing one set of constraints of the zero—one integer program. For a given set of Lagrange multipliers, LMRA can be easily solved to obtain a lower bound. Then, we propose a Lagrangian heuristic, L, that generates both a lower bound and an upper bound in each iteration. The above heuristics were tested with 50 test problems. We also compared the performance of L with a general‐purpose optimization package, CPLEX, using 12 test problems. The results show that L was able to identify an optimal solution in almost all cases. CPLEX found an optimal solution in all cases, but was not able to verify optimality in some instances. © 2002 Wiley Periodicals, Inc.
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