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traveling-salesman-problem-using-genetic-algorithm's Introduction

Traveling-Salesman-Problem-using-Genetic-Algorithm

This application is used to plan the shortest route between randomly selected locations in a specific area on the map. Initially, 20 locations are randomly chosen on the map.

How It Works

  1. Location Selection: 20 locations are randomly selected in a specific area on the map.

  2. Driving Distance Matrix Creation: The driving distances between the selected points are calculated using the Open Source Routing Machine (OSRM) API. These driving distances are saved as a matrix and exported to a CSV file.

  3. Shortest Route Calculation with Genetic Algorithm: The shortest route is calculated using a genetic algorithm based on the driving distances in the CSV file.

  4. Route Visualization: The calculated shortest route is drawn on the map for visual representation.

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