Minimum Spanning Trees with neighborhoods: mathematical programming formulations and solution methods
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This paper studies Minimum Spanning Trees under incomplete information assuming that it is only known that vertices belong to some neighborhoods that are second order cone representable and distances are measured with a lq-norm. Two Mixed Integer Non Linear mathematical programming formulations are presented, based on alternative representations of subtour elimination constraints. A solution scheme is also proposed, resulting from a reformulation suitable for a Benders-like decomposition, which is embedded within an exact branch-and-cut framework. Furthermore, a mathheuristic is developed, which alternates in solving convex subproblems in different solution spaces, and is able to solve larger instances. The results of extensive computational experiments are reported and analyzed.
CitationBlanco, V., Fernandez, E., Puerto Albandoz, J. Minimum Spanning Trees with neighborhoods: mathematical programming formulations and solution methods. "European journal of operational research", 1 Novembre 2017, vol. 262, núm. 3, p. 863-878.