Data networks
Maintaining Minimum Spanning Trees in Dynamic Graphs
ICALP '97 Proceedings of the 24th International Colloquium on Automata, Languages and Programming
The robust spanning tree problem with interval data
Operations Research Letters
An approximation algorithm for interval data minmax regret combinatorial optimization problems
Information Processing Letters
A Branch and Bound algorithm for the minimax regret spanning arborescence
Journal of Global Optimization
The minimum spanning tree problem with fuzzy costs
Fuzzy Optimization and Decision Making
Simulated annealing algorithm for the robust spanning tree problem
Journal of Heuristics
The "Not-Too-Heavy Spanning Tree" Constraint
CPAIOR '07 Proceedings of the 4th international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Some methods for evaluating the optimality of elements in matroids with ill-known weights
Fuzzy Sets and Systems
An approximation algorithm for interval data minmax regret combinatorial optimization problems
Information Processing Letters
CPAIOR'08 Proceedings of the 5th international conference on Integration of AI and OR techniques in constraint programming for combinatorial optimization problems
Heuristics for the central tree problem
Journal of Heuristics
The minimum spanning tree constraint
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
An axiomatic approach to robustness in search problems with multiple scenarios
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A possibilistic approach to combinatorial optimization problems on fuzzy-valued matroids
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Operations Research Letters
On the complexity of the robust spanning tree problem with interval data
Operations Research Letters
On exact solutions for the Minmax Regret Spanning Tree problem
Computers and Operations Research
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Robust optimization is one of the fundamental approaches to deal with uncertainty in combinatorial optimization. This paper considers the robust spanning tree problem with interval data, which arises in a variety of telecommunication applications. It proposes a constraint satisfaction approach using a combinatorial lower bound, a pruning component that removes infeasible and suboptimal edges, as well as a search strategy exploring the most uncertain edges first. The resulting algorithm is shown to produce very dramatic improvements over the mathematical programming approach of Yaman et al. and to enlarge considerably the class of problems amenable to effective solutions.