Traveling salesman problem (TSP) implementation with python code | 7. Python Tutorial for Beginners

Traveling salesman problem python code
In this video i have made a demo for Traveling salesman problem python code.
The travelling salesman problem (also called the traveling salesperson problem[1] or 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 exactly once and returns to the origin city?". The travelling purchaser problem and the vehicle routing problem are both generalizations of TSP.
In this demo i have a made for the graph in the thumbnail and its matrix representation of graph in the code is described as [[0 9 2 6] [9 0 5 1] [2 5 0 10] [6 1 10 0]].
The TSP has several applications even in its purest formulation such as planning logistics and the manufacture of microchips. Slightly modified it appears as a sub-problem in many areas such as DNA sequencing. 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. If no path exists between two cities adding an arbitrarily long edge will complete the graph without affecting the optimal tour.
timestamps
00:00 - Intro
00:20 - travelling salesman problem python
00:40 - thankyou for watching
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