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The SP-1 (Shortest Path, 1 Probe) algorithm is an example of a Fixed Path Routing solution. This algorithm calculates the shortest path using the number of optical routers as the cost function. A single probe is used to establish the connection using the shortest path.
Another example is the use of k shortest paths algorithm to track multiple objects. The technique implements a multiple object tracker based on the k shortest paths routing algorithm. A set of probabilistic occupancy maps is used as input. An object detector provides the input.
The contraction hierarchies algorithm has no knowledge about road types but is able to determine which shortcuts have to be created using the graph alone as input. To find a path from to the algorithm can skip over the grey vertices and use the dashed shortcut instead. This reduces the number of vertices the algorithm has to look at.
Download QR code; Print/export Download as PDF; Printable version; ... Pages in category "Routing algorithms" The following 41 pages are in this category, out of 41 ...
Transit node routing as a framework was established in 2007 [1] and many concrete implementations have surfaced in the years after such as approaches using grids, highway hierarchies [2] and contraction hierarchies. [3]
A distributed variant of the Bellman–Ford algorithm is used in distance-vector routing protocols, for example the Routing Information Protocol (RIP). The algorithm is distributed because it involves a number of nodes (routers) within an Autonomous system (AS), a collection of IP networks typically owned by an ISP. It consists of the following ...
Combinations of artificial ants and local search algorithms have become a preferred method for numerous optimization tasks involving some sort of graph, e.g., vehicle routing and internet routing. As an example, ant colony optimization [3] is a class of optimization algorithms modeled on the actions of an ant colony. [4]
In this graph, the widest path from Maldon to Feering has bandwidth 29, and passes through Clacton, Tiptree, Harwich, and Blaxhall. In graph algorithms, the widest path problem is the problem of finding a path between two designated vertices in a weighted graph, maximizing the weight of the minimum-weight edge in the path.