A solution of the $k$ shortest paths problem may output paths that are identical up to a single edge. On the other hand, a solution of the $k$ independent shortest paths problem consists of paths that share neither an edge nor an intermediate node. We investigate the case in which the number of edges that are not shared among any two paths in the output $k$-set is a parameter. We study two main directions: exploring \emph{near-shortest} paths and exploring \emph{exactly shortest paths}. We assume that the weighted graph $G=(V,E,w)$ has no parallel edges and that the edge lengths (weights) are positive. Our results are also generalized to the cases of $k$ shortest paths where there are several weights per edge, and the results should take in...
The purpose of the (Formula presented.) dissimilar paths problem is to find a set of (Formula presen...
In the article, the definition of an undirected multiple graph of any natural multiplicity k > 1 ...
Single source shortest path algorithms are concerned with finding the shortest distances to all ver...
The classical disjoint shortest path problem has recently recalled interests from researchers in the...
AbstractThe disjoint shortest paths problem is defined as follows. Given a graph G and k pairs of di...
The similarity between two paths can be measured according to the proportion of arcs they share. We ...
Consider a complete graph Kn with edge weights drawn independently from a uniform distribution U(0, ...
Shortest path problems arise in a variety of applications ranging from transportation planning to ne...
Abstract. Motivated by a security problem in geographic information systems, we study the following ...
We consider the Shortest Odd Path problem, where given an undirected graph $G$, a weight function on...
The purpose of the K dissimilar paths problem is to find a set of K paths, between the same pair of ...
The shortest path problem in graphs is a cornerstone for AI theory and applications. Existing algori...
Shortest path problems arise in a variety of applications ranging from transportation planning to ne...
Consider a complete graph Kn with edge weights drawn independently from a uniform distribution U(0,1...
Abstract. The essential subgraph H of a weighted graph or digraph G contains an edge (v, w) if that ...
The purpose of the (Formula presented.) dissimilar paths problem is to find a set of (Formula presen...
In the article, the definition of an undirected multiple graph of any natural multiplicity k > 1 ...
Single source shortest path algorithms are concerned with finding the shortest distances to all ver...
The classical disjoint shortest path problem has recently recalled interests from researchers in the...
AbstractThe disjoint shortest paths problem is defined as follows. Given a graph G and k pairs of di...
The similarity between two paths can be measured according to the proportion of arcs they share. We ...
Consider a complete graph Kn with edge weights drawn independently from a uniform distribution U(0, ...
Shortest path problems arise in a variety of applications ranging from transportation planning to ne...
Abstract. Motivated by a security problem in geographic information systems, we study the following ...
We consider the Shortest Odd Path problem, where given an undirected graph $G$, a weight function on...
The purpose of the K dissimilar paths problem is to find a set of K paths, between the same pair of ...
The shortest path problem in graphs is a cornerstone for AI theory and applications. Existing algori...
Shortest path problems arise in a variety of applications ranging from transportation planning to ne...
Consider a complete graph Kn with edge weights drawn independently from a uniform distribution U(0,1...
Abstract. The essential subgraph H of a weighted graph or digraph G contains an edge (v, w) if that ...
The purpose of the (Formula presented.) dissimilar paths problem is to find a set of (Formula presen...
In the article, the definition of an undirected multiple graph of any natural multiplicity k > 1 ...
Single source shortest path algorithms are concerned with finding the shortest distances to all ver...