2019
DOI: 10.1109/access.2019.2894829
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Dynamically Reconstructing Minimum Spanning Trees After Swapping Pairwise Vertices

Abstract: The minimum spanning tree (MST) problem is a fundamental problem in computer science and operations research, which has many real-life network design applications. Given a graph G with n vertices and m edges, starting from an MST (denoted by T) covering a subgraph of G, it is usually needed to reconstruct a new MST after swapping two vertices v ∈ T and v / ∈ T. For this purpose, the most popular choice is to reconstruct an MST from scratch, for which the current fastest algorithm (Kruskal's algorithm based on … Show more

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Cited by 4 publications
(1 citation statement)
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“…The metaheuristic strategy studied in this chapter is in the class of memetic algorithms [31], effectively combining elements from local search and evolutionary search paradigms. Local search heuristics have been widely used in combinatorial optimization [3,12], and they have especially been successful when applied to treerelated problems [14]. For tackling the SPG, a local search procedure initiates from a prior defined solution.…”
mentioning
confidence: 99%
“…The metaheuristic strategy studied in this chapter is in the class of memetic algorithms [31], effectively combining elements from local search and evolutionary search paradigms. Local search heuristics have been widely used in combinatorial optimization [3,12], and they have especially been successful when applied to treerelated problems [14]. For tackling the SPG, a local search procedure initiates from a prior defined solution.…”
mentioning
confidence: 99%