This paper considers a stochastic shortest path problem where the arc lengths are independent random variables following a normal distribution. In this problem, the optimal path is one that maximizes ...

They settled on the negative-weight shortest-paths problem and invited Aaron Bernstein of Rutgers University to join them. Christian Wulff-Nilsen was looking for an ambitious problem to tackle with ...

This paper considers the shortest path problem with waiting costs (SPWC) as an extension to the shortest path problem with time windows. The problem consists of finding the minimum cost path in a ...

One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network - ...

Shortest-path algorithms are powerful tools used to tackle many real-world problems, particularly navigation.