@dxzmpk/js-algorithms-data-structures/src/algorithms/graph/travelling-salesman/README.md

Algorithms and data-structures implemented on JavaScript

# Travelling Salesman Problem

The travelling salesman problem (TSP) asks the following question: 
"Given a list of cities and the distances between each pair of 
cities, what is the shortest possible route that visits each city 
and returns to the origin city?"

![Travelling Salesman](https://upload.wikimedia.org/wikipedia/commons/1/11/GLPK_solution_of_a_travelling_salesman_problem.svg)

Solution of a travelling salesman problem: the black line shows 
the shortest possible loop that connects every red dot.

![Travelling Salesman Graph](https://upload.wikimedia.org/wikipedia/commons/3/30/Weighted_K4.svg)

TSP can be modelled as an undirected weighted graph, such that 
cities are the graph's vertices, paths are the graph's edges, 
and a path's distance is the edge's weight. It is a minimization 
problem starting and finishing at a specified vertex after having 
visited each other vertex exactly once. Often, the model is a 
complete graph (i.e. each pair of vertices is connected by an 
edge). If no path exists between two cities, adding an arbitrarily 
long edge will complete the graph without affecting the optimal tour.

## References

- [Wikipedia](https://en.wikipedia.org/wiki/Travelling_salesman_problem)