Traveling Sales Person - Family of functions - pgRouting Manual (3.2)
Traveling Sales Person - Family of functions
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pgr_TSP - When input is given as matrix cell information.
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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
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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) .
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ISBN-13: 978-0198539162
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ISBN-10: 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:
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Given a starting city,
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There are \(n-1\) choices for the second city,
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And \(n-2\) choices for the third city, etc.
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Multiplying these together we get \((n-1)! = (n-1) (n-2) . . 1\) .
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Now since the travel costs do not depend on the direction taken around the tour:
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this number by 2
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\((n-1)!/2\) .
 
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General Characteristics
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This problem is an NP-hard optimization problem.
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Metric Algorithm is used
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Implementation generates solutions that are twice as long as the optimal tour in the worst case when:
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Graph is undirected
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Graph is fully connected
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Graph where traveling costs on edges obey the triangle inequality.
 
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On an undirected graph:
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The traveling costs are symmetric:
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Traveling costs from
utovare just as much as traveling fromvtou 
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See Also
References
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Metric Algorithm from Boost library
 
Indices and tables