Disjoint Path Finding

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Revision as of 22:29, 30 May 2014 by MacFreek (Talk | contribs) (Bhandari)

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The algorithms to find a shortest path in a graph are well-documented, but the algorithms for finding multiple disjoint (non-overlapping) paths are not so well documented. This is an attempt to explain two of them, Suurballe's algorithm (for finding node-disjoint paths) Bhandari's algorithm (for finding edge-disjoint paths) by means of an example.

I assume that the reader is familiar with algorithms to find a single path, such as:

  • Edsgar W. Dijkstra's algorithm (or the A*/Astar algorithm which speeds it up by taking the topological distance to the destination in consideration while sorting the nodes in the queue).
  • Bellman-Ford algorithm, which is a variant of Dijkstra's algorithm to allow for edges with negative weight.


Ramesh Bhandari published the following algorithm in his book “Survivable Networks: Algorithms for Diverse Routing” (Kluwer Academic Publishers, 1999). It is based on Suurballe's original algorithm, but much simpler to implement. It finds k (2 or more) edge-disjoint paths through a graph. The sum of the costs of all paths is minimum.


Problem: find the two shortest edge-disjoints paths between A and H in this graph:


Step 1

Find the (directed) shorest path p1. (e.g. with Dijkstra's algorithm)


Step 2

Make the graph directed (if it wasn't) and replace the edges from the found path with inverse edges with negative costs.


Step 3

Find the shortest path p2 in the new graph. Use a modified Dijkstra algorithm such as Bellman-Ford to allow for negative edge weights.


Repeat steps 2 and 3 as necessary (for k-shortest paths)

Step 4

Add all shortest paths in the graph.


Step 5

Remove all inverse edges along with their originals, so they cancel each other out. In this example edge E-D is removed from both paths.


You have now 2 (or k) disjoint shortest paths.


Suurballe-0.svg Suurballe-1.svg Suurballe-2a.svg Suurballe-2b.svg Suurballe-3.svg Suurballe-4.svg Suurballe-5.svg