Traveling Sales Person  Family of functions  pgRouting Manual (3.3)
Traveling Sales Person  Family of functions

pgr_TSP  When input is given as matrix cell information.

pgr_TSPeuclidean  When input are coordinates.
Table of Contents
General Information
Problem Definition
The travelling salesperson problem (TSP) asks the following question:
Given a list of cities and the distances between each pair of cities, which is the shortest possible route that visits each city exactly once and returns to the origin city?
Origin
 The traveling sales person problem was studied in the 18th century by mathematicians

Sir William Rowam Hamilton and Thomas Penyngton Kirkman .
A discussion about the work of Hamilton & Kirkman can be found in the book Graph Theory (Biggs et al. 1976) .

ISBN13: 9780198539162

ISBN10: 0198539169
It is believed that the general form of the TSP have been first studied by Kalr Menger in Vienna and Harvard. The problem was later promoted by Hassler, Whitney & Merrill at Princeton. A detailed description about the connection between Menger & Whitney, and the development of the TSP can be found in On the history of combinatorial optimization (till 1960)
To calculate the number of different tours through \(n\) cities:

Given a starting city,

There are \(n1\) choices for the second city,

And \(n2\) choices for the third city, etc.

Multiplying these together we get \((n1)! = (n1) (n2) . . 1\) .

Now since the travel costs do not depend on the direction taken around the tour:

this number by 2

\((n1)!/2\) .

General Characteristics

This problem is an NPhard optimization problem.

Metric Algorithm is used

Implementation generates solutions that are twice as long as the optimal tour in the worst case when:

Graph is undirected

Graph is fully connected

Graph where traveling costs on edges obey the triangle inequality.


On an undirected graph:

The traveling costs are symmetric:

Traveling costs from
u
tov
are just as much as traveling fromv
tou

See Also
References

Metric Algorithm from Boost library
Indices and tables