LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Most vital vertices for the shortest s–t path problem: complexity and Branch-and-Cut algorithm

Photo from wikipedia

In this paper we study the most vital vertices for the shortest s–t path problem. This problem consists, given a digraph $$D=(V\cup \{s,t\},A)$$D=(V∪{s,t},A) and a threshold $$d\in \mathbb {N}$$d∈N, in… Click to show full abstract

In this paper we study the most vital vertices for the shortest s–t path problem. This problem consists, given a digraph $$D=(V\cup \{s,t\},A)$$D=(V∪{s,t},A) and a threshold $$d\in \mathbb {N}$$d∈N, in finding the minimum number of nodes to delete from D in such a way that there does not exist a s–t path of length less or equal than d. We prove the NP-hardness of this problem and propose an integer linear program using an exponential number of inequalities. We investigate the facial structure of the associated polytope. We prove that this polytope is integer and we derive an efficient Branch-and-Cut algorithm. Finally, we present and discuss some computational results.

Keywords: vital vertices; vertices shortest; path problem; shortest path; path; problem

Journal Title: Optimization Letters
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.