Python
Python

 

 

Python Program


import itertools

def calculate_distance(city1, city2):
    """
    Calculate the distance between two cities.
    
    Parameters:
    city1 (tuple): Coordinates of the first city (x1, y1).
    city2 (tuple): Coordinates of the second city (x2, y2).

    Returns:
    float: The distance between the two cities.
    """
    return ((city1[0] - city2[0]) ** 2 + (city1[1] - city2[1]) ** 2) ** 0.5

def total_distance(route, cities):
    """
    Calculate the total distance of the given route.

    Parameters:
    route (list): A list of city indices representing the route.
    cities (list): A list of city coordinates.

    Returns:
    float: The total distance of the route.
    """
    return sum(calculate_distance(cities[route[i]], cities[route[i + 1]]) for i in range(len(route) - 1))

def traveling_salesman(cities):
    """
    Solve the Traveling Salesman Problem using a brute-force approach.
    
    Parameters:
    cities (list): A list of tuples representing city coordinates.

    Returns:
    tuple: The optimal route and its total distance.
    """
    num_cities = len(cities)
    all_routes = itertools.permutations(range(num_cities))
    
    best_route = None
    min_distance = float('inf')
    
    for route in all_routes:
        current_distance = total_distance(route + (route[0],), cities)
        if current_distance < min_distance:
            min_distance = current_distance
            best_route = route
            
    return best_route, min_distance

# Example usage
if __name__ == "__main__":
    cities = [(0, 0), (1, 2), (2, 4), (3, 1)]
    best_route, min_distance = traveling_salesman(cities)
    print(f"Best route: {best_route} with distance: {min_distance}")

Program Structure Explanation

The program is structured into several key functions:

  • calculate_distance(city1, city2): This function computes the Euclidean distance between two cities given their coordinates.
  • total_distance(route, cities): This function calculates the total distance of a specified route through the cities.
  • traveling_salesman(cities): This is the main function that generates all possible routes using permutations and finds the one with the minimum distance.
  • if __name__ == “__main__”: This block allows the script to be run directly, providing an example usage of the program.

Usage

To use the program, define a list of city coordinates as tuples and call the traveling_salesman function with that list. The output will include the best route found and the corresponding distance.

 

By Aditya Bhuyan

I work as a cloud specialist. In addition to being an architect and SRE specialist, I work as a cloud engineer and developer. I have assisted my clients in converting their antiquated programmes into contemporary microservices that operate on various cloud computing platforms such as AWS, GCP, Azure, or VMware Tanzu, as well as orchestration systems such as Docker Swarm or Kubernetes. For over twenty years, I have been employed in the IT sector as a Java developer, J2EE architect, scrum master, and instructor. I write about Cloud Native and Cloud often. Bangalore, India is where my family and I call home. I maintain my physical and mental fitness by doing a lot of yoga and meditation.

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