The fascinating Traveling Salesman Problem (TSP)
Understanding TSP algorithm with real-examples

Have you ever wondered about the optimal route to visit all the countries in the world? The answer lies in a fascinating data science problem called the Traveling Salesman Problem (TSP). This algorithm seeks to find the shortest route for a salesman who needs to visit a set of cities, with the constraint that each city must be visited exactly once. In this blog post, we’ll delve into the world of TSP, exploring how it can help us plan our travels efficiently and showcasing some intriguing applications.
Understanding the Earth’s Surface
Before we embark on our journey, it’s essential to understand how TSP takes into account the actual distance on the Earth’s surface, known as the haversine distance. This is crucial because the Earth is round, and traditional Euclidean distance (straight line) is not suitable for measuring distances on a spherical object.

Paris: A Touristic Example:
Let’s begin our exploration by examining the shortest route to visit touristic locations in Paris. Starting with the Eiffel Tower and winding through iconic spots like Sainte-Chapelle and the Louvre, the shortest route covers a distance of 46 km.

European Capitals Adventure:
Taking the TSP to the next level, we explore the shortest route between the capital cities of all European countries. The journey begins in Malmö, Sweden, and winds through Stockholm, Tallinn, Helsinki, and concludes in Baku, the capital of Azerbaijan, covering a total distance of 29,864 km.

Global Capitals Odyssey:
Now, let’s elevate our adventure and unveil the shortest route for all the capital cities in the world! The journey commences in Kabul, Afghanistan, and takes us through Islamabad, Dushanbe, Tashkent, and finally to Port of Spain, Trinidad and Tobago, covering a distance of 25,017 km.

Conclusion:
In the world of data science, the Traveling Salesman Problem opens up exciting possibilities for optimizing routes and solving complex logistical challenges. Whether you’re a seasoned traveler or a data enthusiast, experimenting with TSP adds a new dimension to journey planning. So, why not try out this algorithm in the cities of your choice for your next international visit? Happy traveling!
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